Applied Linear Statistical Models

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Applied Linear Statistical Models
by Michael Kutner, Christopher Nachtsheim, John Neter, William Li
from McGraw-Hill/Irwin

Customer Reviews:

• Avg. Customer Rating: 5.0 / 5.0

• Excellent
  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

• Only stats book I've read cover to cover
  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... more info

• The Best Text
  This textbook is excellent. The examples are clear and are very valuable in connecting the theory to reality. The assigned text for my regression course, Introduction to Regression Modeling by Abraham and Ledolter, is horrible. I ended up using the Neter text to learn the material for the regression course as well as the design of experiment course for which it was assigned. I know I will keep the Applied Statistical Models forever as a highly valuable reference book. I highly recommend it.

• Outstanding Non-Theoretic Linear Models Book, HUGE
  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... more info

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