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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2014
Genre:	Schulbücher
	Angewandte Mathematik / Applications of Mathematics / Applied mathematics / B / Engineering mathematics / Epidemiology & medical statistics / Mathematical & statistical software / Mathematics and Statistics / Probability & statistics / Social research & statistics / Statistical Theory and Methods / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs / Statistics for Life Sciences, Medicine, Health Sciences / Statistics for Social Sciences, Humanities, Law / Statistics in Life Sciences, Medicine, Health Sciences mehr...
ISBN:	9780817648107
EAN-Code:	9780817648107
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	Statistics for Industry and Technology
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	6679 gr
Seiten:	304
Illustration:	XVII, 304 p. 21 illus., 8 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.