In many applications, the underlying scientific question concerns whether the variances of k
samples are equal. There are a substantial number of tests for this problem. Many of them …

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 …

This is a book about statistical distributions, their properties, and their application to
modelling the dependence of the location, scale, and shape of the distribution of a response …

A new edition of this popular text on robust statistics, thoroughly updated to include new and
improved methods and focus on implementation of methodology using the increasingly …

Data-analytic approaches to regression problems, arising from many scientific disciplines
are described in this book. The aim of these nonparametric methods is to relax assumptions …

Statistical approaches to overdispersion, correlated errors, shrinkage estimation, and
smoothing of regression relationships may be encompassed within the framework of the …

Advanced Econometrics is both a comprehensive text for graduate students and a reference
work for econometricians. It will also be valuable to those doing statistical analysis in the …

This revised book provides a thorough explanation of the foundation of robust methods,
incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and …

Semiparametric regression is concerned with the flexible incorporation of non-linear
functional relationships in regression analyses. Any application area that benefits from …

The new edition of An Introduction to Statistical Concepts is designed to help students really
understand statistical concepts, the situations in which they can be used, and how to apply …