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{ "item_title" : "Applied Regression Analysis and Generalized Linear Models", "item_author" : [" John Fox "], "item_description" : "Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book. Accompanying website resources containing all answers to the end-of-chapter exercises. Answers to odd-numbered questions, as well as datasets and other student resources are available on the author′s website. NEWBonus chapter on Bayesian Estimation of Regression Models also available at the author′s website.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/45/220/566/1452205663_b.jpg", "price_data" : { "retail_price" : "235.00", "online_price" : "235.00", "our_price" : "235.00", "club_price" : "235.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Applied Regression Analysis and Generalized Linear Models|John Fox

Applied Regression Analysis and Generalized Linear Models

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Overview

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.

Accompanying website resources containing all answers to the end-of-chapter exercises. Answers to odd-numbered questions, as well as datasets and other student resources are available on the author′s website.

NEW Bonus chapter on Bayesian Estimation of Regression Models also available at the author′s website.

This item is Non-Returnable

Details

  • ISBN-13: 9781452205663
  • ISBN-10: 1452205663
  • Publisher: Sage Publications, Inc
  • Publish Date: April 2015
  • Dimensions: 10.1 x 7.1 x 1.4 inches
  • Shipping Weight: 3.1 pounds
  • Page Count: 816

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