Applied Linear Statistical Models | 
 enlarge | Authors: Michael H Kutner, Christopher J. Nachtsheim, John Neter, William Li
Publisher: McGraw-Hill/Irwin
Category: Book
Buy New: $131.99
New (32) Used (14) from $107.00
Rating:  8 reviews
Sales Rank: 189371
Media: Hardcover
Edition: 5th
Pages: 1396
Number Of Items: 1
Shipping Weight (lbs): 4.9
Dimensions (in): 9.3 x 7.7 x 2.1
ISBN: 007310874X
Dewey Decimal Number: 310
EAN: 9780073108742
Publication Date: August 10, 2004
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Product Description
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.
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| Customer Reviews: Read 3 more reviews...
Outstanding Non-Theoretic Linear Models Book, HUGE July 15, 2007
Leicester Dedlock (Ames, IA United States)
2 out of 2 found this review helpful
Second year Ph.D. student in Statistics at Iowa State University
I can't think of a single better non-theoretic linear models book. You need to have at least one semester of undergraduate statistics under your belt to follow this book, but it's useful and readable for everyone else. Undergraduates, graduates, professionals...whoever. Given its non-theoretic approach and extremely clear explanations, it can be read by undergraduates with only a minimal background in statistics, but it is comprehensive enough to be useful to anyone. There is no better linear models reference. The textbook is thick (almost 1400 pages) and covers most linear models topics in great detail including regression, ANOVA, and analysis of covariance. My only disappointment regarding content was the rather slim coverage of random and mixed effects models and GLM's. On a positive note, the book provides excellent coverage of diagnostics and remedial measures, which is very often skimmed over in linear models books. Additionally, it has exceptionally well-written, though fairly brief, coverage of model selection and validation, another topic that is a little lacking in many linear models books.
The explanations and choice of exercises are both well-done. The explanations and examples are both clear and thorough, although I would have definitely preferred to see more graphs. It's the kind of topic where visual illustration greatly increases understanding. Generally, the exercises seem a little bit too easy, especially for graduate students, but they do mix in a few harder problems and they pick good, non-contrived problems.
Whether you want a linear models book for learning purposes or if you just want a reference, this book is an excellent choice.
Awesome book ! January 9, 2007
Rag Ven (Michigan)
5 out of 5 found this review helpful
This book if not for business majors , engineering students and psycology students.
This is an EXCELLENT book for statistics undergrad/grad and PhD students.
I spent over 10 hours weekly just reading the book every week. Plus my assignments will take another 10 hours . So be prepared for a 20 hr week.
YOU NEED TO TAKE A BASIC STAT / INTRO STAT course before this. If you dont know the meaning of P-values , T-test , F-test , DO NOT TAKE THIS COURSE. This book will not introduce you to those things. Unfortunately many buiness schools ( including top 10 ) dont offer a good intro stat course, so buiness majors jumping in to this course is a wrong idea.
This book is also a "good to own book". The first 15 or so chapters has regression and the second half ( next 15 chapters ) has DOE (design of experiments). GREAT BOOK !
One piece of advice - make sure you learn to use SAS with this course . In real world applications many industries are using SAS. Even if your teacher insists on using R package / splus , YOU MAKE SURE YOU know how to do those things in SAS . There is a SAS student manual with this book, specially written for this book . buy it ISBN - 0-07-302177-6
good luck !
Great reference January 11, 2007
Joachim O. Hero (New Haven, CT)
2 out of 3 found this review helpful
Thus book is comprehenisve and clear. A must-have for those who frequently to regression analysis.
Only stats book I've read cover to cover February 22, 2008
Topixs (Los Angeles, CA)
As a PhD student in management, I found this book (5th edition) to have the perfect balance between clarity and rigor. If you are looking for a book that covers both the theory and application of linear regression methods, this is a terrific reference. It is not a light book, in content or weight, so be prepared to work through it slowly. I agree with other reviewers that it is not a book you can jump into without either an intro to stats or a good professor to take you through it (and I had both, which helped a lot). However, the time spent reading this book is well worth it. I read it cover to cover...a first for any math book I've owned (and I've had a lot of math classes...but none of it ever stuck). The chapters present information in layers, and if you still want more detail (for you PhD students in stats and finance), the footnotes are excellent. I bought it as a course text, but I have returned to this book many times. (You will get more out of the book if you are familiar with a little bit of basic matrix algebra.)
Excellent August 2, 2008
Esequias Rodrigues de Lima (Goiania, Brazil)
I was looking for a book that deals with details about regression analysis, simple or multiple, and advanced topics of statistical. I found it!
I recommend to buy this book. It's a excellent book!
Applied Linear Statistical Models
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