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Advances on Models, Characterizations and Applications (Hardcover, New)
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Advances on Models, Characterizations and Applications (Hardcover, New)
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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. 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. Advances
on Models, Characterizations and Applications provides an updated
account of important properties of statistical distributions that
reflects their deep importance and broad application and is a
welcome addition to the literature.
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