Multidimensional Nonlinear Descriptive Analysis

Informationen zum Autor Nishisato! Shizuhiko Klappentext Qualification of categorical! or non-numerical! data is a problem that scientists face across a range of disciplines. Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sampled randomly from a normal population and often involve nonlinear relations. Accessible for both students and researchers! this book presents necessary background material on statistical concepts and data analysis techniques. It covers data analysis methods in detail! with each chapter addressing a different type of categorical data. It also features real worked examples from a range of application areas including the social and biological sciences. Zusammenfassung Qualification of categorical, or non-numerical, data is a problem that scientists face across a range of disciplines. This book presents methods for analyzing categorical data that are not necessarily sampled randomly from a normal population and involve nonlinear relations. It offers material on statistical concepts and data analysis techniques. Inhaltsverzeichnis Motivation. Quantification with Different Perspectives. Historical Overview. Conceptual Preliminaries. Technical Preliminaries. Contingency Tables. Multiple-Choice Data. Sorting Data. Forced Classification of Incidence Data. Paired Comparison Data. Rank Order Data. Successive Categories Data. Further Topics of Interest. Further Perspectives. Index.

Product details

• Authors: Shizuhiko Nishisato
• Publisher: Chapman and Hall Ltd
• Languages: English
• Product format: Hardback
• Released: 11.07.2006
• EAN: 9781584886129
• ISBN: 978-1-58488-612-9
• Dimensions: 160 mm x 240 mm x 18 mm
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Biology, life sciences, Psychological theory, systems, schools and viewpoints, Psychological theory & schools of thought, Psychological methodology, Probability & statistics, Probability and statistics