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Generalized Linear Models

Generalized Linear Models

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Author: John P. Hoffmann
Publisher: Allyn & Bacon
Category: Book

Buy New: $99.99



New (2) Used (4) from $55.49

Rating: 5.0 out of 5 stars 2 reviews
Sales Rank: 234218

Media: Paperback
Pages: 216
Number Of Items: 1
Shipping Weight (lbs): 0.9
Dimensions (in): 9.2 x 7.1 x 0.6

ISBN: 0205377939
Dewey Decimal Number: 519.5
EAN: 9780205377930

Publication Date: August 25, 2003
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Brand new, 100% satisfaction guaranteed, Outstanding customer service

Similar Items:

  • Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)
  • An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
  • An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences)
  • An Introduction to Generalized Linear Models, Third Edition (Texts in Statistical Science Series)
  • Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)

Editorial Reviews:

Product Description
This brief and economical text shows students with relatively little mathematical background how to understand and apply sophisticated linear regression models in their research areas within the social, behavioral, and medical sciences, as well as marketing, and business. Less theoretical than competing texts, Hoffman includes numerous exercises and worked-out examples and sample programs and data sets for three popular statistical software programs: SPSS, SAS, and Stata.


Customer Reviews:

5 out of 5 stars Excellent introduction   September 11, 2003
5 out of 6 found this review helpful

Generalized linear models are a class of statistical models that allow various types of variables to be used as dependent variables. This book provides an excellent elementary introduction to this topic. It will be useful as a textbook or as an overview for statistical modelers. Even though I have many years experience with statistics, I learned much from this book. In particular, its well-written presentation and myriad examples provide wonderful access to what had heretofore been difficult material. It also shows how to run models using STATA, a widely used statistical package. I highly recommend this book!


5 out of 5 stars Generalized Linear Models   September 13, 2005
Stacey MacArthur (Logan, UT USA)
2 out of 3 found this review helpful

This book has been extremely helpful in completing the statistics for my thesis and other graduate classes. It's very easy to read and gives good examples to aid understanding.

 
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