Regression analysis has been one of the most widely used statistical methodologies for analyzing relationships among variables during the past fifty years. Due to its flexibility, usefulness, applicability, theoretical and technical succinctness, it has become a basic statistical tool for solving problems in the real world.

In order to apply regression analysis effectively, it is necessary to understand both the underlying theory and its practical application. This book explores conventional topics as well as recent practical developments, linking theory with application. Intended to continue from where most basic statistics texts end, it is designed primarily for advanced undergraduates, graduate students and researchers in various fields of engineering, chemical and physical sciences, mathematical sciences and statistics.

In my opinion this book can be a useful addition to academic libraries and readers with basic statistical knowledge will find it helpful in further understanding the underlying theory and applications of the regression analysis.

E-STREAMS, (Online Journal V.8.5, May 2005).

Highly recommended, more appropriate as a resource for a two-semester course, than a one-semester course. Upper division undergraduates through faculty and researchers

CHOICE, February 2005.

Provides a level of mathematical detail not seen in other graduate student and advanced undergraduate regression texts. ...those looking to acquire a solid regression reference…should certainly consider this book

The American Statistician, Vol 61, No 1, February 2007.