Statistical methods in discrimination litigation

書誌事項

Statistical methods in discrimination litigation

edited by D.H. Kaye, Mikel Aickin

(Statistics : textbooks and monographs, v. 69)

M. Dekker, c1986

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注記

Includes index

内容説明・目次

内容説明

This book sketches some of the legal doctrines that underlie discrimination litigation. It describes and probes frequently seen statistical methods. The book also describes the more or less standard methods being brought into United States Supreme Court.

目次

1. The Place of Statistics in Establishing Unconstitutional Acts of Discrimination 2. Statistical Evidence of Discrimination in Jury Selection 3. Claims of Employment Discrimination Under Title VII of the Civil Rights Act of 1964 4. Defining the Relevant Population in Employment Discrimination Cases 5. Regression Analysis in Discrimination Cases 6. The Perverse Logic of Reverse Regression 7. Measurement Error and Regression Analysis in Employment Cases 8. Validating Employee Selection Procedures 9. Issues and Methods in Discrimination Statistics

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