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{ "item_title" : "Contingency Table Analysis", "item_author" : [" Maria Kateri "], "item_description" : "Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making. Combining both theory and applications, this book presents models and methods for the analysis of two- and multidimensional-contingency tables.An excellent reference for advanced undergraduates, graduate students, and practitioners in statistics as well as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/49/393/959/1493939599_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Contingency Table Analysis|Maria Kateri

Contingency Table Analysis : Methods and Implementation Using R

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Overview

Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making. Combining both theory and applications, this book presents models and methods for the analysis of two- and multidimensional-contingency tables.

An excellent reference for advanced undergraduates, graduate students, and practitioners in statistics as well as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages.

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Details

  • ISBN-13: 9781493939596
  • ISBN-10: 1493939599
  • Publisher: Birkhauser
  • Publish Date: September 2016
  • Dimensions: 9.21 x 6.14 x 0.68 inches
  • Shipping Weight: 1 pounds
  • Page Count: 304

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