Multidimensional Nonlinear Descriptive Analysis

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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.

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