Synopses & Reviews
This timely reference offers up-to-date information on many recent developments in the field. Comprising fourteen self-contained chapters contributed by internationally renowned experts, this book delineates recent developments on characterizations and other important properties of several distributions, inferential issues related to these models, and several applications of the models to real-world problems. Each chapter is rich with references for further study or more in-depth information on each topic and reflects work presented at the International Conference on Advances on Characterizations, Models, and Applications held in Antalya, Turkey in December 2001.
Book News Annotation:
A clear understanding of the properties of statistical distributions
is critical for the development of optimal inferential methods and
the validation of the resulting model assumptions. Containing 14
contributions from specialists, this volume explores recent
developments in the field of characterizations and other important
properties of several statistical distributions and models. These
advances are then related to a number of real-world applications and
problems. The chapters are based on papers originally presented at an
international conference held in Turkey in December 2001.
Balakrishnan teaches at McMaster U. in Ontario.
Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)
Book News Annotation:
A clear understanding of the properties of statistical distributions
is critical for the development of optimal inferential methods and
the validation of the resulting model assumptions. Containing 14
contributions from specialists, this volume explores recent
developments in the field of characterizations and other important
properties of several statistical distributions and models. These
advances are then related to a number of real-world applications and
problems. The chapters are based on papers originally presented at an
international conference held in Turkey in December 2001.
Balakrishnan teaches at McMaster U. in Ontario.
Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)
Synopsis:
Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures, understanding the properties of statistical distributions is critical to developing optimal inferential methods and validating the resulting model assumptions. Advances on Models, Characterizations and Applications offers up-to-date information on many recent developments in the field. Comprising fourteen self-contained chapters contributed by internationally renowned experts, this book delineates recent developments on characterizations and other important properties of several distributions, inferential issues related to these models, and several applications of the models to real-world problems.
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