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{ "item_title" : "The Association Graph and the Multigraph for Loglinear Models", "item_author" : [" Harry J. Khamis "], "item_description" : "This practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraph The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/41/297/238/1412972388_b.jpg", "price_data" : { "retail_price" : "55.00", "online_price" : "55.00", "our_price" : "55.00", "club_price" : "55.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Association Graph and the Multigraph for Loglinear Models|Harry J. Khamis

The Association Graph and the Multigraph for Loglinear Models

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Overview

This practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraph

The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

This item is Non-Returnable

Details

  • ISBN-13: 9781412972383
  • ISBN-10: 1412972388
  • Publisher: Sage Publications, Inc
  • Publish Date: January 2011
  • Dimensions: 8.45 x 5.58 x 0.29 inches
  • Shipping Weight: 0.35 pounds
  • Page Count: 136

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