Randomized Response Theory and Techniques
Statistical Methods in Discrimination Litigation
November 24, 1987
September 30, 1987
By Virendera K. Srivastava, David E.A. Giles
May 29, 1987
This book brings together the scattered literature associated with the seemingly unrelated regression equations (SURE) model used by econometricians and others. It focuses on the theoretical statistical results associated with the SURE model....
February 26, 1987
By Adelin Albert
January 09, 1987
This first of its kind guide describes statistical methods for the effective and efficient analysis of multivariate laboratory data, providing coverage which goes well beyond the standard single-sample diagnostic tools that regularly appear in medical literature....
By D. H. Kaye
August 07, 1986
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....
By Ralph B. D'Agostino
June 02, 1986
Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction, and also collecting methods of testing for specific famous distributions, this useful reference is the first comprehensive review of the extensive literature on the subject. It surveysthe leading ...
By S. W. Bergman
December 17, 1985
This book focuses on statistical methods which impinge more or less directly on the decisions that are made during the course of pharmaceutical and agro-chemical research, considering the four decision-making areas....
By B. M. Cox
June 07, 1985
This book is written for professionals who wish to learn about methodological issues associated with health care surveys. It represents a distinct and important contribution to the application of the methodology of sample surveys to the collection of data on the utilization of health care services....
By Richard J. Brook, Gregory C. Arnold
April 25, 1985
For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis of experiments and provides students with the practical understanding needed to apply theory in real data analysis problems.Stressing principles while keeping ...
December 06, 1984
With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpoint,Bayesian ...
By Alan E. Gelfand, Crayton C. Walker
September 19, 1984
The overall purpose of this book is to examine several broad questions in general systems theory and to suggest areas of application for the approach used. This volume offers a unique statistical approach, utilizing populations of models in the analysis of complex systems. With this novel method, ...