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British statistics book for General Studies students with illustrations. ... Read more

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Provides a systematic account of the theory of rank order statistics as applied to the problems of general linear models. It offers a unified approach to general multivariate linear models with an emphasis on nonparametrics, and includes an extensive, up-to-date bibliography. ... Read more

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Defines 204 probability and general statistical terms in English and French which may be used in the drafting of other international standards. The terms are classified under the following main headings: Terms used in the theory of probability, General statistical terms, General terms relating to observations and test results, General terms relating to methods of sampling. The entries are arranged analytically and alphabetical indexes in English and French are provided. Annex A gives a list of symbols and abbreviations used. ... Read more

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This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it examines: binomial statistical inference; statistical inference by inverse probability; the central limit theorem and linear minimum variance estimation by Laplace and Gauss; error theory, skew distributions, correlation, sampling distributions; and the Fisherian Revolution. Lively biographical sketches of many of the main characters are featured throughout, including Laplace, Gauss, Edgeworth, Fisher, and Karl Pearson. Also examined are the roles played by DeMoivre, James Bernoulli, and Lagrange.

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In this unique monograph based on years of extensive work, Chatterjee presents the historical evolution of statistical thought from the perspective of various approaches to statistical induction. Developments in statistical concepts and theories are discussed alongside philosophical ideas on the ways we learn from experience. ... Read more

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Chances are your class will be excited about probability with this reality-based kit. Make predictions, gather and analyze data, and draw conclusions with the activities in the 109-page book, In All Probability: Investigations in Probability and Statistics. Five activities use coins, dice, spinners, and Native American game sticks. Supplement the probability experiments with these manipulatives: 24 Arrow Spinners, 36 Dot Dice, 400 Color Counters, 250 Transparent Counters, 200 Tongue Depressors, and 2 Dice for the Overhead. Grades 3-6. ... Read more

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Confusing Textbooks? Missed Lectures? Not Enough Time?

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Customer Reviews (7)

very condensed
This book and the way it's advertised make it seem like an idiot's guide to Stats. However, it's not. It's actually pretty dense for that. It is a great supplement to a Stats class. It cuts through a lot of the nonsense and verbiage of many stats texts. I'd suggest using this to supplement the class (after lectures etc). It's also great to refresh yourself on basic stats and probability concepts once you've taken a course. I just wish it had more diagrams and pictures of the various distributions.

Good book!
I really love this book. The packaging is super nice.. There was no single damage to my book.. I just LOVE it

Riddled with Typos
I thought the material covered in this book was excellent and the examples are very good as well, but there was just one problem....riddled with typos.I noticed the first one on a Supplementary Problem in the the first chapter: the given answer was way off. Then in the 2nd chapter I noticed on another practice problem that there was an addition sign instead of an equal sign.Issues like this popped up for me through the FIRST 5 CHAPTERS!!!! If you are just learning some of this material it can be extremely frustrating because one symbol or number that is off may cause you to rack your brain for hours trying to figure out if it's the book or you that is wrong. Because most students blindly trust books this can cause a real hiccup in your studies.When I finally got fed up with the book I had to call McGraw Hill to see if they could exchange it for one without all the errors. Because I didn't purchase it directly from them (as most individual students purchase books from a store) they said there is nothing they could do for me except inform the editors.When I asked them if they accept any product liability on their part their response was: "If you buy food from one grocery store you can't return it at another". I urge you that if you are learning this material for the first time STAY AWAY FROM THIS BOOK.I gave this book 2 Stars because the content and explanations were pretty good, but the typos eventually became too much to overlook.

Probability and Statistics
Probability and Statistics is my life. I needed this book to just refresh my basic stats and this is it.

great deal
awesome price, came within a reasonable amount of time, came in good condition, no complaints whatsoever ... Read more

Product Description
This book teaches students to apply their basic knowledge of statistics to both routine and complex problems. They will quickly be able to identify what type of problem they are faced with and will have the skills to solve that problem correctly.

Most problems presented in core texts are repetitious and require students merely to do some computation, look something up in a table, or recall the proper Excel command. Even study guides and review manuals do not push the student beyond this introductory level. 101 Special Practice Problems in Probability and Statistics, fourth edition, challenges students to think at a higher than basic level, without involving a higher level of mathematics, while still teaching them to solve diverse groups of problems such as those they find on most exams. The book s approach will put an end to the frequently heard student lament, I did fine on the homework, but I was BLOWN AWAY by the exam!This new edition contains additional class-tested problems to further increase an emphasis on the use of Excel. A mini CD-ROM containing data sets for the appropriate problems, is included with each book. ... Read more

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This book retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples. Topics include nonparametric statistics, a section on p-values in hypothetical testing, coverage of residual analysis, and more material on quality control and experiment design. Provides chapter introductions, including interesting historical information ... Read more

Customer Reviews (4)

Excellent book for review
This book was very helpful for me to review the subject.It is clear and well written with plenty of problems.I would personally prefer more example problems and more work problems with solutions, but it is getting harder and harder to find that these days.

very helpful
I'm an engineer, I've been out of school for 3 years and I bought this book for my first grad class.The book itself is like most textbooks... reading it will put you to sleep.However this book was great for learning the material.My professor is extremely hard to understand and not very helpful in lecture.Basically I taught myself the material from this book and passed with an A.

Still not there yet for engineers
I bought this book for one of my project and read most of its chapters. I feel that this book may be good for student in engineering major but sure not good enough for engineers.

Outstanding Reference Source for Industrial and Quality Mgrs
A must have for the industrial engineer and quality professional.Montgomery and Hines present an excellent piece that is well organized, comprehensive and stocked full of real world examples. A must have for your reference books and library. ... Read more

Product Description
Check your work-and your understanding-with this manual, which provides worked-out solutions to the odd-numbered problems in the text. ... Read more

Customer Reviews (9)

Review
The book is very helpful but only had the solutions to the odd problems from the book.

If you're a student. Don't buy it.
If you're a student. Don't buy it. You better ask your TA how to do the questions.
Some of the solutions are confusing. It's expensive and only have half of the answer.

Has answers but lacks explanation.
If you're simply looking to check that your answers are correct, this book does that (for the odd numbered problems, at least). But if you're looking for useful commentary to help you learn the techniques, you won't find that here.

This is by far the most lacking solutions manual I've ever used (I've used more than 20 manuals over the last 5 years). I would caution anyone looking to better learn the material.

Great product!
This is a good solutions manual.Only one suggestion, please include all even problems in it, as well as odd ones.

Thanks

grat condition
delivery date was perfect
condition is really good
it is really helping my homework a lot!! ... Read more

Product Description

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

Customer Reviews (25)

too much proof, too little application, hard to read!!!!
I used this book for my statistics class.The author makes simple concept hard to understand.It contains pages of proofs to a simple formula.I tried to follow the proof, but it was confusing.The proofs were not basic and intuitive calculus.It did not help me do well in the class either.I almost forgot what I was trying to prove when I followed through.

The book does not explain how to use the formulas.So, the problem sets are hard, because you are not sure how to apply the formulas.

A lot of the later examples are based on the result of the earlier ones.So, it can be very hard to pick up from the middle of the book.It also happens in the problem set, the result from question 1 is needed to complete question four.

Solid text for the study of probability and statistics for math majors
An earlier edition of this book was the text when I took my first course in probability and statistics. Now that I teach math and computer science at a small college I am always on the lookout for a new text and so I examined this book within that context. The coverage is at a high mathematical level; there are many theorems with proof. However, there are also many worked examples that demonstrate how the theorems are applied. The quality of the exposition is such that it is very readable for those who have gone through a three-semester calculus sequence.
The chapters are:

*) Introduction to probability
*) Conditional probability
*) Random variables and distributions
*) Expectation
*) Special distributions
*) Estimation
*) Sampling distributions of estimators
*) Testing hypotheses
*) Categorical data and nonparamentric methods
*) Linear statistical models
*) Simulation

A large set of problems appears at the end of each chapter and solutions to the odd-numbered ones are included in an appendix.
The high level of readability that I appreciated so much when I learned from an earlier edition has been maintained through this one. I can strongly recommend this book as a text for upper level courses in probability and statistics.

Fantastic Into Probability and Stats Book
This book is a fantastic introduction to probability and statistics.It is clear and presents the material with lots of accompanying intuitive explanations.The book also has lots of great examples that clarify the theory and show how the theory can be applied.This book has a strong focus on Bayesian methods, so it is a good place to start if you are trying to learn Bayesian statistics.I love this book.

The truth about this book.99% of other great reviews are bogus.
This book was not written for students.It was written so that the author can gain respect from his from his academic peers.The explanations are absolutely horrible.It purposely explains simple concepts in overly verbose, complicated ways.The idea is to make the subject appear as complicated as possible when it doesn't need to be.It reads like those academic papers that are purposely written in overly complicated language so that nobody understands what the author is talking about except the author himself.The idea is to impress his academic circle by showing that he did a "complicated" analysis.

When are these people going to learn that "simplicity is the ultimate sophistication" - Da Vinci?

Here's an example.Do you know what's a percentile?Think about your SAT or GRE score report.80th percentile means 80% of the people scored lower than you.90th percentile means 90% of the people scored lower than you.Simple, right?This book introduces the concept like this:

"The d.f. of a random variable X gives us the probability that X<=x for all real numbers x.It is often the case that we choose a probability, like 1/2, and we want to know where in the distribution of X we can find that probability.For example, suppose that X is the amount of rain that will fall tomorrow and we want to place an even-money bet on X as follows.If X<=x0, we win one dollar and if X>x0 we lose one dollar.In order to make this bet fair, we need Pr(X<=xo)=Pr(X>x0)=1/2.We could use all the real numbers x trying to find one such that F(x)=1/2, and then we could let x0 equal the value we found.If F is a one-to-one function, then F has an inverse F^-1 and x0=F^-1(1/2)." - P.114

Lol! If you want to learn like this, go ahead and buy this book.I'll give this book two stars because there are probably a few souls out there who actually do prefer to learn like this.

Best intro reference for graduate students
This is by far the best graduate text for basic probability and statistics that is currently made.It even nicely incorporates Bayesian material in a completely relevant way.No, it is probably too complex and abstract for complete beginners in probability as many of the reviewers here have suggested.For anyone with even just a basic background in statistics or probability, however, it is perfect.It is straightforward, comprehensive and most importantly highly readable.There is no comparison to other probability/statistics texts I own--if you are pursuing any sort of graduate level study in statistics or basic probability this the textbook to own and reference. ... Read more

Product Description
Used by hundreds of thousands of students, market-leading INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new thirteenth edition retains the text?s straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Exciting learning tools like MyPersonal Trainer, MyApplet, and MyTip ensure that you thoroughly understand chapter material and give you hands-on experience putting it into action. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you. ... Read more

Customer Reviews (17)

Very good seller
My textbook came only three days after I placed the order. Very fast and decent description of the product that accidently left out the detail of the glued cover of the product. Nevertheless, no complaints from me other than I was wondering why the seller never included a tracking number on the shipment. Thank you very much Jolly Ranger.

Not for entry level Stats
I think this is a great text if you already know the material. I had to purchase for a required Stats 1600, entry level, class. It seems like the focus of this text is to confuse the student rather than educate. By midterm I found a Stats tutor and even he had trouble following the text and was amazed how the authors complicated relatively simple material. If possible try and avoid this text and Professors PLEASE stop using this text in your Stats classes!

Ok, Bordering on Good

This book is suitable for an introductory course in probability and statistics.That's about it.Heaven help you if you are using this book in a more advanced course because the problems don't come close to preparing you for the storm of pain some professors can inflict.

The book does a good job summarizing concepts and formulas.If you're expecting proofs, well, brace yourself for disappointment.If you fear proofs, then this book and you will get along swimmingly.

The biggest complaint is that there needs to be far more challenging homework problems.However, they do a great job of explaining how to use Minitab.

Very poorly written
I am enrolled in my Masters in Statistics and Epidemiology. For my Epi I had to take an introductory stats class and though I have taken classes that are far more complex, I felt this book lacked organization and perhaps the worst statistics book I have ever had to read. Thus it received a one star.

Did not use but looks good
Even though I didn't get to use this textbook it looked like a great intro to STATS. (That's why I gave it a 3 out of 5 stars). I took STATS in high school and the textbook was pretty old (written in the 90s or early 2000s). This one seemed as if it stuck to the needed material and took a step-by-step approach to introducing college students to the world of statistics. ... Read more

Customer Reviews (5)

Student Solutions Manual, somewhat helpful
This solutions manual has some errors in it and some of the worked out problems do not match the problems in the book. Not sure that it was reviewed fully. The solutions are somewhat hard to follow and not complete for some problems. I think it is a great addition to helping me learn Probability and Statistics but I was hoping for a better manual since there is not an instructor's manual available yet.

not a good solution manual
The solution is very brief, which makes it hard to follow.I have this solution manual. I know should rate like everyone else and give it 5 star so can sell my copy.But, I think your money is worth more than that.

So, I give it 2 star.
1. There are too few steps to the final answer.It's almost like the back of the book.
2. The steps shown in the manual is not enough to understand how to solve the problem.
3. The manual only solves odd number problems.If you stuck on an even number, good luck!

I don't want to discourage anyone from buying this, but if you are trying to use this solution manual, and have a self-study, chances are, you get more confused than what you try to understand.You need someone to explain the intermediate steps that's not in the book.

Solid and Helpful
My biggest problem with this solutions manual is that it only solves the odd problems, not the even problems. (For that, I guess you'd have to talk to a professor if you're taking a class, or find the answers somewhere else.) Even with that, it's still a handy item to have around when working on problem sets in the book (Probability and Statistics). I highly suggest this item if you have any problem with the course material.

great
has everything you would expect.answers to half the problems in the book worked out.i didnt give it 5 stars because it would have been nice to have all the answers but i knew what i was buying before hand so its no problem.

wrong title
They gave me the wrong title. I thought I was getting the actual book. It didn't say anywhere that it was only the student solutions manual. ... Read more

Product Description
Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and different applications considered.

Robust Statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of the robust statistical methods in regression, multivariate analysis, generalized linear models and time series. This unique book:

• Enables the reader to select and use the most appropriate robust method for their particular statistical model.
• Features computational algorithms for the core methods.
• Covers regression methods for data mining applications.
• Includes examples with real data and applications using the S-Plus robust statistics library.
• Describes the theoretical and operational aspects of robust methods separately, so the reader can choose to focus on one or the other.
• Supported by a supplementary website featuring time-limited S-Plus download, along with datasets and S-Plus code to allow the reader to reproduce the examples given in the book.

Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work. ... Read more

Customer Reviews (2)

comprehensive treatment of robustness
I do not agree that this text is a sequel to Huber's classic book on robustness.Huber has recently produced a second edition to the book which is more appropriately called a sequel as it mainly updates the first edition.

Maronna, Martin and Yohai do much more here.Hampel's book takes an influence function approach to robustness.Huber's deals more with constrained maximization such as M estimation.Most books on robustness deal with the problems of location and scale and perhaps a little on multivariate robustness.These author's cover all approaches.They provide a good mix of theory and applications.They include multivariate analysis, generalized linear models, regression and time series.Time series robustness is a strength of this book as these authors have contributed a lot to that theory.

In addition to providing a modern and comprehensive outlook on robustness the authors get into the practical issues of computation providing a chapter on numerical algorithms and the another on the implimentation of robustness in the SPlus software.

Outlier detection and removal is another approach to robustness.First you remove outliers and then you perform classical statistical methods on what is left.This is probably not as good of an approach to robustness as the alternatives.But outliers play a role that is measured by influence functions and reducing their influence rather than eliminating them completely is often the goal of a robust procedure.

This is a one-of-a-kind book on robustness and is very much worth having im your library if you are a professional statistician.

An update literature on robust statistics
This book is a sequel to the classic text book on Robust Statistics by Huber. The authors have updated new materials appearing in the literature in the past 20 years or so. The book is some what more balance between theory and practice and there are many off-the-shelf algorithms for use. I think most importantly, it tells applied statistician when and what to use in a concise way. Of course, if one wants to further dig out the theory, it is probably best to follow up the reference. ... Read more

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Customer Reviews (2)

Great Book!
This book is exactly what I ordered in perfectly new condition at a price that couldn't be beat elsewhere. A+

Dissapointing
I have used this textbook for two of my statistics courses: One being introduction to theoretical probability, and another one was mostly about statistical inference. Part of this book that contains probability is actually written quite nicely. It has a lot of useful chapters on introductory probability theory. However, do not expect many combinatorial problems to be presented here.

However, while taking the second course in statistics, I realized that part of this book that covers statistical methods is rather garbage. Reading those sections it just a total waste of time. This book overcomplicates even easy things and tends to use a lot of random letters to represent various variables, which I have never seen in any other book on this subject.


PROS:

Probability part is well written and clear, good excercises.
Contains advanced things that are not done on introductory level

CONS:

Everything else


In my opinion this book is simply not worth buying. Try to borrow one from a friend, get it from the library. Just don't waste your time and money on this one. ... Read more

Product Description
A comprehensive overview of experimental design at the advanced level

The development and introduction of new experimental designs in the last fifty years has been quite staggering and was brought about largely by an ever-widening field of applications. Design and Analysis of Experiments, Volume 2: Advanced Experimental Design is the second of a two-volume body of work that builds upon the philosophical foundations of experimental design set forth half a century ago by Oscar Kempthorne, and features the latest developments in the field.

Volume 1: An Introduction to Experimental Design introduced students at the MS level to the principles of experimental design, including the groundbreaking work of R. A. Fisher and Frank Yates, and Kempthorne's work in randomization theory with the development of derived linear models. Design and Analysis of Experiments, Volume 2 provides more detail about aspects of error control and treatment design, with emphasis on their historical development and practical significance, and the connections between them. Designed for advanced-level graduate students and industry professionals, this text includes coverage of:

• Incomplete block and row-column designs
• Symmetrical and asymmetrical factorial designs
• Systems of confounding
• Fractional factorial designs, including main effect plans
• Supersaturated designs
• Robust design or Taguchi experiments
• Lattice designs
• Crossover designs

In order to facilitate the application of text material to a broad range of fields, the authors take a general approach to their discussions. To aid in the construction and analysis of designs, many procedures are illustrated using Statistical Analysis System (SAS®) software. ... Read more

Customer Reviews (2)

part of a two volume series on experimental design
This is one of a two volume series of books on experimental design.There are many fine books out on experimental design, some are very theoretical and others are very applied.I particularly like the book by Wu and Hamada which is very modern and rigorous.These books provide a very rigorous treatment of classical experimental design.The authors are expert statisticians with a great deal of experience from both the practical and academic viewpoints.These books are worthy of a statistician's bookshelf.

Good for MBA study
Klaus Hinkelmann & Oscar Kempthorne have provided the a practical approach on how to design, conduct, and analyze, and interpret experiments to optimize the performance of products and processes. ... Read more

Product Description
Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasizing models rather than general constructions. Basic mathematical facts are supplied as and when they are needed and historical information is sprinkled throughout. ... Read more