Multidimensional Nonlinear Descriptive Analysis

ISBN-13: 9780367390648 / Angielski / Miękka / 2019 / 328 str.

Shizuhiko Nishisato

Opis

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.

Spis treści

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.

O autorze

Nishisato, Shizuhiko