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Multiway Contingency Tables Analysis for the Social Sciences
Multiway Contingency Tables Analysis for the Social Sciences
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This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in…
  • Leidėjas:
  • ISBN-10: 0805803785
  • ISBN-13: 9780805803785
  • Formatas: 15 x 23 x 2.7 cm, minkšti viršeliai
  • Kalba: Anglų

Multiway Contingency Tables Analysis for the Social Sciences (el. knyga) (skaityta knyga) | knygos.lt

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This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed.

This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
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  • Leidėjas:
  • ISBN-10: 0805803785
  • ISBN-13: 9780805803785
  • Formatas: 15 x 23 x 2.7 cm, minkšti viršeliai
  • Kalba: Anglų

This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed.

This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.

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