Generalized Linear Models | 
enlarge | Author: John P. Hoffmann Publisher: Allyn & Bacon Category: Book
Buy New: $99.99
New (2) Used (4) from $55.49
Rating: 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
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| 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.
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| Customer Reviews:
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!
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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