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Analysis of Binary Data, Second Edition

D.R. Cox, E. J. Snell
May 15, 1989

The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the...

Analysis of Infectious Disease Data

N.G. Becker
May 01, 1989

The book gives an up-to-date account of various approaches availablefor the analysis of infectious disease data. Most of the methods havebeen developed only recently, and for those based on particularlymodern mathematics, details of the computation are carefullyillustrated. Interpretation is...

Readings in Decision Analysis

S. French
March 01, 1989

Provides an introduction to decision analysis. This book is based upon a number of papers and articles taken from the Operational Research Society's journal and other publications. However, the book is not simply a 'collection of reprints': Professor French has provided extensive notes and...

Nonlinear Lp-Norm Estimation

Rene Gonin
February 10, 1989

Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important reference/text extensively delineates ahistory of Lp-norm estimation. It examines the nonlinear Lp-norm estimation problem that isa viable alternative to least...

Model Discrimination for Nonlinear Regression Models

Dale S. Borowiak
February 07, 1989

Borowiak (math, U. of Akron) discusses model discrimination based upon incorrect selection probability, presents diagnostic statistics and formal hypothesis test procedures to assess a model's fit and stability, explains the use of computer computations such as the jackknife and bootstrap, and demon...

Stochastic Structural Dynamics: Progress in Theory and Applications

T. Ariaratnam, G.I. Schueller
September 01, 1988


Transformation and Weighting in Regression

Raymond J. Carroll, David Ruppert
August 01, 1988

This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques--such as formal fitting methods and less formal graphical techniques-- that can be applied to...