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Applied Linear Statistical Models 5th Edition

by Michael Kutner (Author), Christopher Nachtsheim (Author), John Neter (Author),

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Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling, analysis of variance, and the design of experiments. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text proceeds through linear and nonlinear regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, projects, and case studies are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and the use of automated software without loss of understanding.

ISBN-10

007310874X
ISBN-13

978-0073108742
Edition

5th
Publisher

McGraw-Hill/Irwin
Publication date

August 10, 2004
Language

English
Dimensions

7.5 x 2 x 9.25 inches
Print length

1396 pages
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Product details

Publisher ‏ : ‎ McGraw-Hill/Irwin; 5th edition (August 10, 2004)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 1396 pages
ISBN-10 ‏ : ‎ 007310874X
ISBN-13 ‏ : ‎ 978-0073108742
Item Weight ‏ : ‎ 4.95 pounds
Dimensions ‏ : ‎ 7.5 x 2 x 9.25 inches

Best Sellers Rank: #1,073,774 in Books (See Top 100 in Books)
- #467 in Business Statistics
- #1,077 in Statistics (Books)
- #1,830 in Probability & Statistics (Books)

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4.5 102 ratings

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4.5 out of 5

102 global ratings

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4 star		14%
3 star		4%
2 star		4%
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Amaretto

Item Arrived on Time and in Good Condition

Reviewed in the United States 🇺🇸 on September 12, 2022

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Item Arrived on Time and in Good Condition

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Filemon Ramirez-Perez

Applied Linear Statistical Models 5th ed Kutner et al

Reviewed in the United States 🇺🇸 on July 19, 2022

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Excelente libro que cubre las metodologías más relevantes de los modelos lineales en Estadística.

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R. J. Thomas

Emminetly Readable

Reviewed in the United States 🇺🇸 on April 7, 2007

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This book was a required text for my Data Analysis course. I am not a stats person and have had only a rudimentary introduction to the subject, so I was surprised to find that this is a very approachable book. It is A TOME, but only because the authors are so thorough in their explanations. If you have seen hypothesis testing and are comfortable with the normal distribution, you will be able to face this book. If you are not, be aware that the exercises in the first chapter refer to the prerequisite material not covered by the book.

After the introductory chapter, the authors gave just the right amount of theory to explain the topic at hand and give extensive footnotes for further information. Lots of graphs and example software output are included, all very helpful. I found the text to be well-organized, with coverage given to explanation and examples of each topic.

My one complaint with the book is that it included no instruction on how to work with software programs to get the desired results, so if you are entirely new to the area and do not know how to use Statistix (which has a thorough and self-explanatory help system), R, Minitab, and SAS (which do not), going will be rough. One of the other reviewers mentioned a SAS guide. You may need it if your professor does not demonstrate software use in class.

3 people found this helpful

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Richard Sams

Student CD-ROM was not provided with book

Reviewed in the United States 🇺🇸 on June 7, 2021

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The item description included the phrase "w/Student CD-ROM" but no CD-ROM was included in the item that was delivered. I had choices that included the book without the CD-ROM but chose one with this item because I wanted access to worked problems while reading the text. If I had known that the CD-ROM was not going to be provided, I would likely have made a different selection.

The quality of the book, its binding, and quality are all very good.

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E. Ward

Great Book for a Statistics Student

Reviewed in the United States 🇺🇸 on March 27, 2010

Verified Purchase

As a Statistics student, I love this book. However, it is probably best for an upperclassman in a statistics program or a first year master's degree student. Our school uses the first half for the business students taking regression and even though they use it, I think it is quite challenging for them. Also, if you want only the first half of the book, you can buy Applied Linear Regression Models.

This book is not the be all and end all of statistics books, but it gives a basic overview of many topics. It is easy for someone with a background knowledge in basic statistics to read. If you want to know more about a topic, there is a bibliography. I like to read first from this book, to get a general idea about the concepts and then go to a more difficult text for all the details.

My book came with a CD, which I have never used because all the data and the student solution guide (odd answers) are online through mcgraw-hill.

4 people found this helpful

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J Helen

high quality book from smiling_bookstore

Reviewed in the United States 🇺🇸 on May 1, 2014

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The content of the book rates 5 star, no doubt. For details, please check the numerous reviews for the US version of the book here at amazon.

This review is more about the quality of the international version of the book, which has the exact same content as the US version, but with a paperback and printed on different kinds of paper. As there are many possible different prints from different countries, the quality is always a question mark.

The copy I received from the third party seller "smiling_bookstore ;-)" was printed in Singapore. The book is on high quality paper with crystal clear print. I am very happy with my purchase. Moreover, the book was delivered by DHL worldwide express to US from oversea within three days of my placing the order, very impressive.

3 people found this helpful

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zach

The examples in the book are thorough and easy to follow

Reviewed in the United States 🇺🇸 on February 21, 2017

Verified Purchase

This book covers so much knowledge. The book takes an algebraic approach to most topics and shies away from the matrix algebra approach used by so many other books. The examples in the book are thorough and easy to follow. This book is really only about linear regression and ANOVA (one-way, two-way, MANOVA, mixed effects, etc.) models with a few other topics thrown in. The book is organized well and thorough.

The only pitfall is it uses MINITAB. I wish it used R instead.

2 people found this helpful

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griffin

Excellent textbook

Reviewed in the United States 🇺🇸 on August 22, 2009

Verified Purchase

Some statistical background is required prior to picking up this book (need to know basic probability and statistics), but this book presents linear analysis in an incredibly straightforward manner. There are also plenty of examples, but the text doesn't rely on them to teach the material. Generally, proofs are provided as "Comments" at the end of the section.

It can serve either as a reference for someone already familiar with these techniques, but is also definitely a book to learn from. Data for examples is also provided in the CD or online if you want to follow along with a statistical language as well. Output shown in the book is usually from MINITAB. The book does not provide any example code, however.

Overall, an absolutely excellent book. I highly recommend it to anyone learning linear modeling techniques.

2 people found this helpful

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Umb

The most comprehensive treatment of linear models

Reviewed in the United Kingdom 🇬🇧 on March 21, 2011

Verified Purchase

In my opinion this excellent book gives the definitive and most comprehensive treatment of linear models theory. Yes it's not a slim reference (almost 1400 pages in its 5th edition), but you can find here everything you ever wanted to know on linear models. If you need a quick-introduction this is not the reference you are looking for: otherwise you will get an in-depth treatment of the topics like I rarely experienced in other books for any statistical topic. In particular, regression diagnostics are very well covered. Generalized linear models are also briefly covered.

Table of Contents
-----------------------------------------------------------

Part 1 Simple Linear Regression

1 Linear Regression with One Predictor Variable

2 Inferences in Regression and Correlation Analysis

3 Diagnostic and Remedial Measures

4 Simultaneous Inferences and Other Topics in Regression Analysis

5 Matrix Approach to Simple Linear Regression Analysis

Part 2 Multiple Linear Regression

6 Multiple Regression I

7 Multiple Regression II

8 Regression Models for Quantitative and Qualitative Predictors

9 Building the Regression Model I: Model Selection and Validation

10 Building the Regression Model II: Diagnostics

11 Building the Regression Model III: Remedial Measures

12 Autocorrelation in Time Series Data

Part 3 Nonlinear Regression

13 Introduction to Nonlinear Regression and Neural Networks

14 Logistic Regression, Poisson Regression, and Generalized Linear Models

Part 4 Design and Analysis of Single-Factor Studies

15 Introduction to the Design of Experimental and Observational Studies

16 Single Factor Studies

17 Analysis of Factor-Level Means

18 ANOVA Diagnostics and Remedial Measures

Part 5 Multi-Factor Studies

19 Two Factor Studies with Equal Sample Sizes

20 Two Factor Studies-One Case per Treatment

21 Randomized Complete Block Designs

22 Analysis of Covariance

23 Two Factor Studies with Unequal Sample Sizes

24 MultiFactor Studies

25 Random and Mixed Effects Models

Part 6 Specialized Study Designs

26 Nested Designs, Subsampling, and Partially Nested Designs

27 Repeated Measures and Related Designs

28 Balanced Incomplete Block, Latin Square, and Related Designs

29 Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs

30 Response Surface Methodology

Appendix A: Some Basic Results in Probability and Statistics

Appendix B: Tables

Appendix C: Data Sets

Appendix D: Rules for Develping ANOVA Models and Tables for Balanced Designs

Appendix E: Selected Bibliography

One person found this helpful

FORSI NWEBIM BOEYEO

The Key to my Success

Reviewed in the United Kingdom 🇬🇧 on June 12, 2013

Verified Purchase

Thanks once more for this book.I bought it because of difficulties in Regression and ANOVA and i Made it. It is the backbone of my success at school

Salih Cihangir

Excellent!

Reviewed in the United Kingdom 🇬🇧 on October 26, 2019

Verified Purchase

Excellent!

Amazon Customer

This does not come with the CD

Reviewed in Canada 🇨🇦 on May 10, 2017

Verified Purchase

Very bad...does not come with the CD. I fell for it, please don't fall for it. Never replied after I wanted to return. VERY BAD!!!!!!!!!!!

Victor May

Excelente referencia

Reviewed in Mexico 🇲🇽 on January 5, 2017

Verified Purchase

Usé este libro para construir la forma de evaluar y construir modelos de regresión en mi trabajo de Tesis, didáctico y muy completo.

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