{
"item_title" : "Generalized Linear Models",
"item_author" : [" P. McCullagh "],
"item_description" : "The bestselling second edition of this outstanding text remains popular today for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. It provides a definitive unified, treatment of methods for the analysis of diverse types of data. The authors focus on the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. With its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/41/231/760/0412317605_b.jpg",
"price_data" : {
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Overview
The bestselling second edition of this outstanding text remains popular today for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. It provides a definitive unified, treatment of methods for the analysis of diverse types of data. The authors focus on the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. With its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.
This item is Non-Returnable
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Details
- ISBN-13: 9780412317606
- ISBN-10: 0412317605
- Publisher: Routledge
- Publish Date: August 1989
- Dimensions: 9.1 x 6.3 x 1.3 inches
- Shipping Weight: 1.85 pounds
- Page Count: 532
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