Product Description
This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics to actually putting the statistical methods to use. Rather than focus on rigorous mathematical development and potentially overwhelming derivations, the book emphasizes concepts, models, methodology, and applications that facilitate your understanding. ... Read more

Customer Reviews (8)

Review
I got the book on time and was very pleased with the condition of the book!

Great Buy and Cheap Too!
It was was a 210 dollar book at my school store and i got it on amazon for about half that price. Nothing better than that, saved some money and still got a book in great condition.

ProbStats Review
Great text but I think it is over priced. I'm not sure why it has to be this expensive. It presents the topics well and gives plenty of examples and problems from real-world situations.

Required Text
The text was required for a first stats course in an applied statistics degree program.The book was much cheaper through Amazon.

The text itself is easy to read and understand. What is aimed at in the course syllabus is covered thoroughly.

Be very cautious
A number of the solutions in the rear of the text are simply wrong.These errors confused several of my students.Given how long this text has been in print, one would expect better editorial work by this point. ... Read more

Product Description
Probability and Statistics are studied by most science students. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real-life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to students. In addition there are over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to modern methods such as the bootstrap. ... Read more

Customer Reviews (6)

Great Introduction to Probability
I thought this a remarkably clear and well written introduction to probability. I've tried to teach myself some probability and statistics over the years with a number of books, but this is the first that really presented the topic in an enjoyable and easily digestible manor. This is not a super formal math text,but all the ideas presented are backed up with nice proofs and arguments.

My background is in physics,and certainly having a reasonable math background smooths the way.

Missing a few steps
Unfortunately this book severely lacks step by step examples and makes many assumptions about what the reader does and does not know. I know calculus but most of the steps in the example problems are skipped over. Each chapter is divided into four or five sections but each chapter is only around ten pages long. This means that an entire section of knowledge is crammed into two pages. Add in that half of a page is usually used for a picture and you end up with a book full of theorems but lacking in substance. These aren't even formulas per say but instead are chapters filled with starting points. To elaborate about how bad this book is; I bought a study guide which has more full detailed step-by-step answers than this book. In fact the "full answers" in the back generally consist of one sentence answers but there are no graphs or step-by-step guidance.

Very hard to understand
We used this book in our Introduction to Probability course at Georgia Tech. This book is written in a not-so-easy to understand matter and is good for someone that has a strong background in math. A few of my friends doing their Ph.D were helping me with this course and they also found this book hard to understand as well. If you read the text you're still gonna have such a hard time doing the exercises because it doesn't explain everything smoothly. I searched through the internet to find a solution manual for this book and simply they don't have it. You only get the solution if you get the teacher version. The book is written and published in Netherlands and it doesn't have any online resource for students. If you have to buy this book for your class make sure you get "Schaum's Outline of Probability, Random Variables, and Random Processes" or a similar book for extra help, otherwise you'll regret like I do.

Excellent book, but needs proofreading
I have a strong general background in math, but not in probability and statistics.I use this book for self-study, and I find that it fits that purpose excellently.There are plenty of examples, and problems are adjusted so that they focus more on principles and understanding rather than on grunt-work calculations.

My main objection, and the reason for giving it 4 stars, is English language.I am not a native English speaker, and it's obvious that none of the authors is either.Even worse, I encounter at least one misleading, or hard to understand sentence per chapter (mostly among problems).The book most definitely needs proofreading and language corrections!

Great for learning if you're prepared
This book reads easily because it gives many concrete examples and uses a tutorial approach to teaching. However, you still need to know some math! You don't need a math degree. A good first course in calculus covering derivatives and integrals, including logs and exponentials, and some introductory combinatorics (basic knowledge of sets, permutations and combinations) is enough. Any sophomore or, at the latest, junior majoring in engineering or hard science has the prerequisites.

An understanding of probability is necessary for understanding statistics, so the first half of this book is probability. Without probability, statistics becomes something like "here are some facts, trust me, now here are some formulas, recipes and tables and you will learn when to use each one". For many people this may be enough, especially if they just need to get something done. But if you want to know why hypothesis testing is done the way it is and how it works, buy this book. For example, many statistics books just assume a normal distribution for sampling and the only thing you need to learn is when to use a one-tailed or two-tailed test and which formula to use. This is valid when working with sufficiently large populations or samples. In contrast, the worked example in this book does not use a normal distribution and it walks you through the reasoning and calculation. The reasoning is applicable to any population and distribution. When you change to a normal distribution the principles remain the same, only the formulas change. You learn the principles.

Now to the book's style. This is a tutorial style book that teaches using examples. It doesn't skip many steps and can feel somewhat chatty. It repeats simple calculations along the way so you don't have to page back and find where that number was calculated. This keeps the flow going. Learning by example is actually a good way to learn if you are new to the material. Some however, may not like this style, so read some online first before buying. If you already have probability under your belt and are up on your math then you may find this book slow going. This book is aimed at scientists and engineers, so if you are looking for a rigorous math book with proofs, look elsewhere.

Summary: If you've got the prerequisites then this is a great book for self teaching at a good price. If you are lacking in math and you need to do statistics now, then pick up a "cookbook" statistics book and come back later when you have the math background. If you know your stuff and need a reference, look elsewhere. ... Read more

Product Description
A comprehensive study of probability, its relation to statistics and its truth-finding value. Text considers approaches of Pascal, Laplace, Poisson and others; discusses Laws of Large Numbers, theory of errors and other relevant topics. Complete with a large number of examples.
... Read more

Customer Reviews (3)

Not a bad read, but marketed somewhat unfairly
I realize that this is a classic text and a 3-star rating isnot really appropriate, but I think there's some things someone should know before buying this book that arn't spelled out. First of all, despite its fancy cover, this book is older than Ozzy. In fact, the first edition was put out in 1929 (to be fair, this is mentioned on the cover.) A lot has happened since then, but what really bothers me is how the back cover markets this book as a definitive exposition on probability. In reality, Von Mises is the advocator (inventor?) of a particular concept of probability, the (extreme) "frequentist approach." In his view, *only* sequences in a long series of observations can be modeled by probability. Now Im no expert, but I can tell you that this is extremety of viewpoint is not agreed on my many experts in the field today. If you're interested in the evolution of the theory of probability, then I think this is a fine read. But if you are wanting a thorough and complete introduction to concepts of probability and statistics, this may not be the best place to find it.

Rare discussion by a statistician & easy to read
I recommend this book to anyone who is interested in the meaning of statistics. Statistics is based on probability theory, which in turn is dependent on a very specific definition of 'probability'. As such,statistical interpretation should always reflect this definition. This bookclarifies the meaning of probability and its impact on statisticalreasoning.

It covers the 'grey area' of statistics, too often ignored inuniversity texts.

This book is very easy to read and does not requiremuch exposure to mathematical probability/statistics. The central ideas ofthe book are applied to 'practical' applications in Physics, which makes iteven more interesting.

For the price, it is a great buy!

great frequentistic work
This outstanding presentation of the frequentist interpretation of probability should be read by all seeking an understanding of what a probability really =is=.One need not accept frequentism (and I do not) to profit greatly from this work. ... Read more

Product Description
This popular problem collection is now available in paperback to be used for self study and in conjunction with basic courses in probability and statistics. Its strength lies in the originality of the problems which have been extensively tested in teaching by the author and others. ... Read more

Customer Reviews (1)

Warmly Recommended
Falk gives a varied and intriguing selection of problems (with scrupulous credit to the original sources) and explains the more challenging of them in helpful detail. Classical problems in the field (Pascal, Galileo) are included along with more recent ones (the Monty Hall perplexity). The invented problems are judicious and relevant. I warmly recommend this book to self-students like myself.

My one reservation is that Falk sometimes seems to introduce Bayesian "later information" considerations into problems where, by her own analysis, such information doesn't really make a difference, except on further assumptions not warranted by the problem. If so, the student's awareness of the long-running Bayesian vs Bernoullian controversy is ultimately enhanced, which is to say that the ideal reader of the book is probably an active and statistically informed student of the subject.

As promised in the Preface, the mathematical requirements are kept reasonably low, and except for the multiple choice quiz in Chapters 4 and 5, the problem solving approach is followed throughout, so that the book can be read independently of a regular statistics course. ... Read more

Product Description
PROBABILITY AND STATISTICS FOR ENGINEERS provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough an accessible modern framework that emphasizes the statistical thinking, data collection and analysis, decision-making, and process improvement skills that engineers need on a daily basis to solve real problems. The book continues to be driven by its hallmark array of engineering applications--thoroughly expanded and modernized for the 5th edition--which tackle timely, interesting, and illuminating scenarios that show students the rich context behind the concepts. Within the presentation of topics and applications the authors continually develop users' intuition for collecting their own real data, analyzing it with the latest graphical tools, and interpreting the results with a goal of improving quality control and problem-solving process. Users will not only gain solid understanding of concepts and their real-life practicality, but will learn to become active statistical practitioners for their own future careers. ... Read more

Customer Reviews (1)

An essential addition to your library
An excellent textbook for introductory probability & statistics course, with real life engineering applications. The context is clear and easily grasped, supported with numerous examples, each carefully explained.
This book is recommended as well for self-study or for use as a supplementary reference. ... Read more

Product Description
A comprehensive look at how probability and statistics is applied to the investment process

Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline.
Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery.
•    Outlines an array of topics in probability and statistics and how to apply them in the world of finance
•    Includes detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis
•    Offers real-world illustrations of the issues addressed throughout the text
The authors cover a wide range of topics in this book, which can be used by all finance professionals as well as students aspiring to enter the field of finance.

Product Description
This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice. Included are chapter overviews,summaries, checklists of important terms, annotated references, and a wide selection of fully worked-out real-world examples. In this edition, the Computer Methods sections have been updated and substantially enhanced and new problems have been added. ... Read more

Customer Reviews (29)

Dreadful
I had the unfortunate experience of having an undergraduate class based on this book.
I found the explanations and theory for a book claiming to be "For Electrical Engineering" to be needlessly complex and outside of practical knowledge and I say this as a person who generally enjoys the theory of mathematics. Each section is punctuated with examples which were either exceedingly simple and of no use in aiding understanding of the subject or challenging yet incomplete and only sometimes useful in helping solve the end of chapter questions. The end of chapter questions follow a similar theme with difficulties ranging from far too simple (and occasionally not even particularly related or pertinent) to nearly unsolvable for any student who doesn't already have sufficient previous experience with the subject.

That all being said, I found this book to be a terrible resource to learn from or be taught from. I do however see how this book could be used, to some success, as secondary material in a class that is well structured and well instructed. I would not recommend this book alone for anyone who expects to learn the subject with any amount of relative ease, although it is possible to do so with unnecessary amounts of effort and stress.

An excellent reference for EEs
I really like this book. It covers the subject in both depth and breadth. Answers to selected problems are included along with many useful examples. A must have reference.

Decent book (judging from 2nd edition)
I will also comment on the negative reviews received by the book so far. It is true that there are 'better' stochastic processes books out there if the comparison is made in mathematical rigor for example or even in the unsolved problems etc. However the book holds a value of its own. I personally use it to teach stochastic processes to students who are not mathematicians. I find that it covers a great variety of topics leaving no important gaps on the way. Also I find each chapter of a particular importance. I dont understand why other reviewers found for example chapter 3 problematic.

To finilize my comment, I think that this book is written in a mathematical mood (the sequence of chapters and the approach, also using CDF instead of PDF) but simplified for people who do not want to go deep into the maths of stochastic processes, so I would love to had been tought this textbook in my engineering degree.

Lots of examples, sparce content, horribly worded problems
The content of each section starts with theory overview and then moves straight into detailed examples heavy in math details.I'm usually one that loves lots of examples but these are mostly useless as the problem statements in both the examples and end of the chapters are written like the author made them up at the last minute.Variable presented are undefined, numbers are reversed from intended or vague, too many assumptions are made and steps left out, and even his standardized variable definitions can get confusing as pointed out before (x, X, x', etc).By the way, the solutions are even worse.

All problems and examples are heavy in difficult math concepts.I know the book is on difficult concepts but it feels like the author likes showing off when the concepts can be explained and practiced in better ways.

The course I'm in is heavy on homework from the back of the book and the problems statements and solutions manual is driving me crazy.I'm tired of trying to read the authors mind and apply difficult concepts at the same time.Over all this book hopefully going to be more useful after this course as a reference then it's been as a learning tool.

Good Book
This is a good book for a subject that is simple but not easy.The author introduces the reader to fundamental concepts in probability with minimal mathematical abstraction and more examples than competing texts.This is the best book on the subject I have come across with the exception of the Schaum's Outline for probability and statistics. ... Read more

Product Description
Students will save time and master non-calculus-based probability and statistics with this powerful study guide. It simplifies difficult theories and focuses on making clear the areas students typically find hardest to understand. The hundreds of problems solved step-by-step make it easier to master even complex statistical problems and get the best grades. Ideal for students in liberal arts, social and health sciences, and education programs. Perfect to supplement class work or for independent study. ... Read more

Customer Reviews (3)

In great condition, fast delivery
Very happy.The book arrived promptly and is in very good condition.Good experience.

Riddled with mistakes
Conceptual discription of the concepts are adequate, but the book has far to many mistakes to instill confidence in the subject matter. It was like walking a minefield. Proof: page 33, fig. 1-33 sums are incorrect, page 34, 1.21.(b) incorrect use of the mean, page 135 (b) P(H) should be P(T). Understand that I only reviewed 10 pages in this book. Shame on Schaum's.

Great book!!! And cheap!!!!!
It is a really great book...has everything you need to learn...at a good price...just great!!! ... Read more

Product Description
A resource for researchers, practitioners and professionals in theoretical and applied probability or statistics. Features coverage of recent developments in asymptotic methods, distribution theory, order statistics, order statistics, and other topics. DLC: Asymptotic distribution (Probability Theory). ... Read more

Product Description

This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are historical notes on the mathematicians mentioned throughout, and a useful bibliography. A distinguishing character of the book is its thorough and succinct handling of the varied topics.

Product Description
The new edition of Anthony Hayter's book continues in the same student-oriented vein that has made previous editions successful. Because Tony Hayter teaches and conducts research at a premier engineering school, he is in touch with engineers daily and understands their vocabulary. This leads to a clear and more readable writing style that students understand and appreciate. Additionally, because of his intimacy with the professional community, Hayter includes many high-interest examples and datasets that keep students' attention throughout the term.PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS employs a flexible approach with regard to the use of computer tools. Because the book is not tied to a particular software package, instructors may choose the program that best suits their needs. However, the book does provide substantial computer output (using MINITAB and other programs) to give students the necessary practice in interpreting output. "Computer Note" sections offer tips for using various software packages to perform analysis of the datasets, which can be downloaded from the website. Through the use of extensive examples and datasets, the book illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics. ... Read more

Customer Reviews (14)

Good book
I purchased this book for my daughter who is studying to be a Chemical engineer.She tells me that the book is in the condition that she expected it to be in and it is serving its purpose.Good deal and shipped within a reasonable time.

A great textbook for probability
I have only started reading this text. What I have seen is that this book is very easy to understand, contains many examples, and has very reasonable problems. Additionally, answers to the odd numbered problems are provided;which is great as you can check your understanding. What is really neat, is the text has a practical case study that is developed as the chapters develop. A student solutions manual is also available to students which is a definite plus. All in all, a great textbook on the subject.

anonymous
This book is not designed for people who are starting to learn statistics or probability.Use this book ONLY if you have undergraduate degree in mathematics or engineering (just like the book says).You NEED to have calculus background in order to understand some portions of the book.There are a number of reasons why I don't personally like this book.
1) Examples cited jump around a lot.There really needs to be a central example library instead of searching through the whole book looking for the example.For example, it would say "Example 38" and talk about how to do a calculation for the chapter but in order to find the data on Example 38, you would have to search another chapter or another part of the book.Why make it so difficult to find the example? Make it easy to access.Don't make me waste my time searching through the whole book, looking for the data on Examples.
2) Index is very poorly designed, if not useless.You have to search for a topic in a number of ways to find anything. It is too limited.
3) Calculations are not fully spelled out.For example, Hayter makes too many assumptions.For example, you cannot skip around to cover different topics because if you do, you wouldn't understand how he obtained the answer.I don't understand why he didn't spell out everything or omits steps and gets right to the answer. To me, process is more important than the answer.
4) Talking about answers, Study Guide is also very useless in my opinion.It only gives you the answer and does not tell you how you get it.What's the use of having the study guide if it doesn't tell you how you got the answer? It was waste of money to buy the study guide.
I believe there are a lot of great books on probability and statistics. In my opinion, this is NOT one of them.

Hayter - Probability and Statistics for Engineers and Scientists
This is a good textbook for learning the basics of probability and statistics. It is written at the graduate level, and breaks into single and multivariable calculus without missing a beat. The calc tripped me up because it has been a while since I've seen it, and there is no refresher in the text.
It reads easily and uses a lot of real-world examples to illustrate concepts, which makes it easy to comprehend and apply.

Great Transaction
This was a great transaction and I would be happy to do buisness with this seller again in the future. ... Read more

Product Description
This example-rich exploration of both elementary probability and basic statistics places a strong emphasis on engineering and science applications.Coverage explores the treatment of data; probability; probability distributions; probability densities; sampling distributions; inferences concerning means; inferences concerning variances; inferences concerning proportions; nonparametric tests; curve fitting; analysis of variance; factorial experimentation; the statistical content of quality-improvement programs; and applications to reliability and life testing.For practicing engineers or anyone interested in probability and statistics. ... Read more

Customer Reviews (12)

Easy to Use
I used this textbook for my engineering statistics class. Overall, the text was very helpful. It has clear and accurate information with lots of examples. I could teach myself the majority of the class material by reading this textbook and working through the practice problems. Also, the chapters are not excessively long. The focus of each chapter is direct and clear.

Only gave 4/5 stars because the book is not 100% perfect. There are some small typos here and there. None major.

Thanks!
I refunded the book because my friend lend me his. I thought the process would be troublesome, but it actually was not. Thanks! =)

this is not U.S. edition
this is a Indian Reprint - RS 350.00 (Original US edition - RS 3362.00)

but there's no difference in content.

jester3611
Be aware that you're purchasing a "Solutions Manual".The answers/solutions are to questions that are not in this book.The questions are in another textbook.

One of the better statistics books
For the most part this is actually one of the better statistics books I have used.It's greatest strengths lie in the number of examples provided and the "Do's and Don'ts" at the end of each chapter.The narratives and proofs do a fairly decent job of introducing and developing new concepts and formulas, and there is generally a good segway from one topic to the next. If you have other statistics books like I do, this book actually does a good enough job deriving each distribution that things became clear here that I had always puzzled over in my other books.It is admittedly a bit distracting at times when an example references data from an earlier example in a previous chapter requiring you to bookmark pages with your fingers so that you can flip back and forth as you work through an example.In other areas, at times an example might skip a few steps which will require you to think through how they made the leap.Still, despite these shortcomings and the occassional errata, I still believe this is one of the better statistics textbooks. ... Read more

Product Description
Now updated in a valuable new edition—this user-friendly book focuses on understanding the "why" of mathematical statistics

Probability and Statistical Inference, Second Edition introduces key probability and statis-tical concepts through non-trivial, real-world examples and promotes the developmentof intuition rather than simple application. With its coverage of the recent advancements in computer-intensive methods, this update successfully provides the comp-rehensive tools needed to develop a broad understanding of the theory of statisticsand its probabilistic foundations. This outstanding new edition continues to encouragereaders to recognize and fully understand the why, not just the how, behind the concepts,theorems, and methods of statistics. Clear explanations are presented and appliedto various examples that help to impart a deeper understanding of theorems and methods—from fundamental statistical concepts to computational details.

Additional features of this Second Edition include:

• A new chapter on random samples

• Coverage of computer-intensive techniques in statistical inference featuring Monte Carlo and resampling methods, such as bootstrap and permutation tests, bootstrap confidence intervals with supporting R codes, and additional examples available via the book's FTP site

• Treatment of survival and hazard function, methods of obtaining estimators, and Bayes estimating

• Real-world examples that illuminate presented concepts

• Exercises at the end of each section

Providing a straightforward, contemporary approach to modern-day statistical applications, Probability and Statistical Inference, Second Edition is an ideal text for advanced undergraduate- and graduate-level courses in probability and statistical inference. It also serves as a valuable reference for practitioners in any discipline who wish to gain further insight into the latest statistical tools. ... Read more

Customer Reviews (2)

Good Intro to probability theory and statistics
I found this book quite thorough and very well written. I liked it a lot because, although not advanced, it does not lack mathematical rigour. I thouroughly recommended for anybody who needs a sound basis for probability and statistics.

Good Intro to probability theory and statistics
I found this book quite thorough and very well written. I liked it a lot because, although not advanced, it does not lack mathematical rigour. I thouroughly recommended for anybody who needs a sound basis for probability and statistics. ... Read more

Product Description
Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control.For each type of distribution the authors supply:?definitions?tables?relationships with other distributions, including limiting forms?statistical parameters, such as variance and generating functions?a list of common problems involving the distributionStandard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively. ... Read more

Customer Reviews (2)

Great book but ...
This is a great book covering all the details about statistics but you may wish to consider purchasing CRC Standard Mathematical Tables and Formulae instead. It covers most of the contents of the stats book for a few dollars more.

Good Complement to Statistics Texts
This reference is a good complement to a collection of standard statistics texts. Often, those texts have good explanations of their concepts. But then provide only limited tables of commonly encountered distributions. Part of this may be that to those authors, such tables let them add relatively little value. To an author, her value is in her origina musings, and not necessarily in filling the latter part of her book with reams of tables.

Thus, there is a natural inclination of statistics authors to only provide a modicum of tables. The barest minimum! Well, your answer to this might be to amass several texts, so that hopefully, the tables you need can be found in one of these.

An alternative is to get this book. Not a text, but a reference manual. Though the editors thoughtfully precede the tables with brief explanations of their usage and some cogent examples. You will find here the most commonly needed distributions in an easy to find and use format. ... Read more

Product Description
Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions. ... Read more

Customer Reviews (29)

Excellent and broad scope of work
I'm already a Mechanical Engineer with a Computer Science second degree. This work is in-depth and covers a broad spectrum for one to apply to their chosen vocations, even if it's just a portion of the design process in your field(s).

What I'm tired of reading is all the whining about this book having errors.

That's the job of the typesetter and editing staff to coordinate with the author to make sure they catch these errors before final printing.

Best of luck finding any work of fiction or non-fiction free of errors.

What I expected I also got. I expected a quality book. I expected to visit Wiley's web site which sent me to a companion web site to find the Errata, Solutions Errata and Data sets to the work. I got all of them.

Get off your duffs and add this to your following through and absorbing this broad and deep work.

This is a first rate book in it's area. Two thumbs up.

Great transaction!
I was surprised that the item arrived between 3-5 days after I ordered it! Thanks for a great service! The book arrived in excellent condition too!

It is good but has some mistake
Bcz it is my textbook, so I read it carefully. And I found that there are some mistakes here. When u learn this subject. U always have to check the value from the tables and charts in the back of the book. And u must check it carefully, bcz the text will miss leading you sometimes. Just take the equation 9-25 as an example, you should check the charts VIIG and VIIH, but not the VIG and VIH. Beside this kind of misstake, everything is fine

Statistics review
This text book had easy to understand formulas.Some short cuts were taken in the examples so if you have forgotten all your math tips, you may have to try twice to complete the problem.But this saves much needed space.The sample problems involved engineering problems, so it was easier to see relevance. I would skip the first chapter.

great.
Great price, good quality; it would be great if Beat the Bookstore sold used books such as this AT this price IN their store so that I don't have to get something shipped to my place when I can just walk over to the Old Cap. Mall... ... Read more

Product Description

This book sets out basic statistical tools as they have been applied in actual legal disputes. Examples range over diverse fields of law, such as identification evidence, mass torts, securities law, environmental regulation, and capital punishment, among many others. In some notable cases, such as the U.S. Supreme Court’s decision in Bush v. Gore, the book explores aspects of the statistical evidence that were unrecognized or misconceived by the parties or the court. For the statistics student, the book will give a deeper appreciation of foundation concepts and provide a wealth of real life applications. For the lawyer, or law student, the book will introduce a subject that has become increasingly important both in litigation and in studies of the legal system. The book is self-contained and may be read without background in probability or statistics.

Product Description
In modern computer science, software engineering, and other fields, the need arises to make decisions under uncertainty. Presenting probability and statistical methods, simulation techniques, and modeling tools, Probability and Statistics for Computer Scientists helps students solve problems and make optimal decisions in uncertain conditions, select stochastic models, compute probabilities and forecasts, and evaluate performance of computer systems and networks.

After introducing probability and distributions, this easy-to-follow textbook provides two course options. The first approach is a probability-oriented course that begins with stochastic processes, Markov chains, and queuing theory, followed by computer simulations and Monte Carlo methods. The second approach is a more standard, statistics-emphasized course that focuses on statistical inference, estimation, hypothesis testing, and regression. Assuming one or two semesters of college calculus, the book is illustrated throughout with numerous examples, exercises, figures, and tables that stress direct applications in computer science and software engineering. It also provides MATLAB^® codes and demonstrations written in simple commands that can be directly translated into other computer languages.

By the end of this course, advanced undergraduate and beginning graduate students should be able to read a word problem or a corporate report, realize the uncertainty involved in the described situation, select a suitable probability model, estimate and test its parameters based on real data, compute probabilities of interesting events and other vital characteristics, and make appropriate conclusions and forecasts. ... Read more

Customer Reviews (1)

I can't say enough good things about this book
This book was perfect.I picked it up when I was working on my master's thesis - I kept running into probability and statistics terminology with which I was not familiar, so I knew I needed a refresher.Fortunately for me, this book turned out to be the perfect choice.It's written as a textbook, of course, but I found it extremely useful as a self-teaching tool as well as a handy reference.

The author doesn't hold back, though - you'll need to have a pretty good grasp of calculus to follow all of the text (although you could probably get something out of it without any exposure to calculus).He even makes use of what I consider fairly advanced calculus such as partial differentiation and integration by parts.Fortunately, there's an appendix that covers the relevant math background - for example, I had never been exposed to integration by parts, but I was able to figure it out from the explanation in the appendix.He also makes use of some linear algebra (matrix operations) in chapters 5 and 10, but again, the appendix covers the fundamentals of its use in the book.

This is, of course, a math book, and I find the best indicator of the value of a math book to be in its exercises.Here, again, I found the exercises to be perfect for what I needed.They covered the material fully, ranged from simple "did you understand the text" to complex "prove such-and-such", but all of them could be solved based on the contents of the chapter in question.Also, the book has answers to selected exercises (a common omission in recent math books which infuriates me), although I would have appreciated a few more - only about a third of the exercises have answers for self-checking. ... Read more

Product Description
This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.

As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications
apply probability theory to everyday statistical problems and situations.

Also Available: Student Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists, 4e ISBN:9780123705280

New to the 4th Edition:
- New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests
- 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
- New Real data examples that use significant real data from actual studies across life science, engineering, computing and business
- New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material ... Read more

Customer Reviews (5)

Not a great book.
The examples start easy.But the second example is very difficult.No scaffolding from easy to difficult.The formulas are difficult to find in the text, sometimes only being found in the examples.Avoid this book if possible.

Required for me; avoid it if you can
This book has too many errors to take seriously. My professor lists new corrections for different sections and homework assignments every class, since otherwise certain problems are impossible to solve. Theorems are also flawed, or even represent OTHER theorems. For the fourth edition of a book, this is unacceptable to me.

Most textbooks of this sort that I have used in the past include a small appendix in the back where the answers(and only the answers) are listed for a subset of questions. This book does not have that section because they sell it separately as a solutions "manual"(despite being partial answers to only part of the questions). Having purchased both book and manual, I would suggest avoiding this unless it is absolutely required for a class.

VERY mediocre
Has a couple of glaring typos. If you already have this book, then get the errata from the publisher's website. Even the errata does not list all the mistakes!
It has no accompanying CD containing all the datasets (tables, time-series, etc). So for topics that require entering data in to Excel or a calculator ... well, you're on your own.
I have searched and searched for the data in electronic version - no luck. Someone from my company even emailed the author, but we haven't heard back.
The little stat solver utility included on the CD is quite literally, useless. It does not cover the full book. It has a solver for a few specific problems for a few specific chapters.
Btw, no solution set either.

Unless you're a student who doesn't have a choice and has to buy this book for a class ... please save your money and look for something else.
If you're trying to learn statistics on your own, then I recommend the Business Statistics (Barron's Business Review Series). It's a well-written paperback, under $20.

Horrible
I couldn't stand this book.There are hardly any examples and the ones that are there are confusing and hard to follow.The problems at the end of the chapter often don't connect with the material covered in the chapter.It would be impossible to learn from this book by itself, and extremely difficult to learn from even with the help of a professor.

Probability and Statistics for Engineers and Scientists

Known for clear exposition and writing style, the fourth edition contains new updated problem sets and applications along with new real data examples.
Excellent learning and teaching tool.
... Read more