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Contingency Table Analysis : Methods and Implementation Using R / / by Maria Kateri



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Autore: Kateri Maria Visualizza persona
Titolo: Contingency Table Analysis : Methods and Implementation Using R / / by Maria Kateri Visualizza cluster
Pubblicazione: New York, NY : , : Springer New York : , : Imprint : Birkhäuser, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (XVII, 304 p. 21 illus., 8 illus. in color.) : online resource
Disciplina: 519.5
Soggetto topico: Statistics
Applied mathematics
Engineering mathematics
R (Computer program language)
Statistical Theory and Methods
Statistics for Social Sciences, Humanities, Law
Statistics for Life Sciences, Medicine, Health Sciences
Statistics and Computing/Statistics Programs
Applications of Mathematics
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references (pages 275-300) and index.
Nota di contenuto: Preface -- Introduction -- Analysis of Two-Way Tables -- Analysis of Multi-Way Tables -- Log-Linear Models -- Generalized Linear Models and Extensions -- Association Models -- More on Association Models and Related Methods -- Response Variable Analysis in Contingency Tables -- Analysis of Square Tables -- Further Topics.
Sommario/riassunto: Combining theory and applications, this book presents models and methods for the analysis of two‐ and multi‐dimensional contingency tables. The author uses a threefold approach: fundamental models and related inferences are presented, their interpretational aspects are highlighted, and their practical usefulness is demonstrated. Throughout, practical guidance for using R is provided along with a comprehensive R-functions web-appendix.   Contingency tables arise in diverse fields, including the life, pedagogic, social and political sciences. They also play a prominent role in market research and opinion surveys. The analysis of contingency tables can provide insight into essential structures, relevant quantities and their interactions, and thus leads to improved decision-making.   Special features include:   ·         A motivating example for each topic ·         Applications and implementations in R for all models discussed ·         Emphasis on association and symmetry models ·         Extensive bibliography ·         Up-to-date supplementary material available on the author’s website   An excellent reference for graduate students, researchers, and practitioners in statistics as well as in the biosciences and social sciences, Contingency Table Analysis may also be used as a supplementary textbook for courses on categorical data analysis with emphasis on special models for ordinal data. Prerequisites include basic background knowledge of statistical inference.
Titolo autorizzato: Contingency table analysis  Visualizza cluster
ISBN: 0-8176-4811-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300152303321
Lo trovi qui: Univ. Federico II
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Serie: Statistics for Industry and Technology, . 2364-6241