Statistical Methods of Discrimination and Classification - 1st Edition - ISBN: 9780080340005, 9781483190983

Statistical Methods of Discrimination and Classification

1st Edition

Advances in Theory and Applications

Editors: Sung C. Choi Ervin Y. Rodin
eBook ISBN: 9781483190983
Imprint: Pergamon
Published Date: 12th May 1986
Page Count: 143
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Statistical Methods of Discrimination and Classification: Advances in Theory and Applications is a collection of papers that tackles the multivariate problems of discriminating and classifying subjects into exclusive population. The book presents 13 papers that cover that advancement in the statistical procedure of discriminating and classifying. The studies in the text primarily focus on various methods of discriminating and classifying variables, such as multiple discriminant analysis in the presence of mixed continuous and categorical data; choice of the smoothing parameter and efficiency of k-nearest neighbor classification; and assessing the performance of an allocation rule. The book will be of great use to researchers and practitioners of wide array of scientific disciplines, including engineering, psychology, biology, and physics.

Table of Contents


Discrimination and Classification: Overview

Multiple Discriminant Analysis in the Presence of Mixed Continuous and Categorical Data

On the Estimation of the Expected Probability of Misclassification in Discriminant Analysis with Mixed Binary and Continuous Variables

Parametric and Kernel Density Methods in Discriminant Analysis: Another Comparison

Multiple Group Logistic Discrimination

Distribution-Free Partial Discrimination Procedures

Choice of the Smoothing Parameter and Efficiency of Â:-Nearest Neighbor Classification

Monte Carlo Study of Forward Stepwise Discrimination Based on Small Samples

The Robust Estimation of Classification Error Rates

Assessing the Performance of an Allocation Rule

The Variance of the Error Rates of Classification Rules

Estimating Class Sizes by Adjusting Fallible Classifier Results

On a Classification Rule for Multiple Measurements


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© Pergamon 1986
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About the Editor

Sung C. Choi

Ervin Y. Rodin

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