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Advances on Models, Characterizations and Applications

Edited by N. Balakrishnan, I. G. Bairamov, O. L. Gebizlioglu

Contributors: Barry C. Arnold, CH. A. Charalambides, Erhard Cramer, Esra Akdeniz, G. Arslan, Majid Asadi, Konstancja Bobecka, Carles M. Cuadras, Ludger Ruschendorf, Mehdi Razzaghi, Masaaki Sibuya, Udo Kamps, M. Ahsaah, Fikri Akdeniz, S. V. Malov, N. Papadatos, Jacek Wesolowski

Published May 31st 2005 by Chapman and Hall/CRC – 256 pages

Series: Statistics: A Series of Textbooks and Monographs

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Description

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.

Contents

Preface

Contributors

The Shapes of the Probability Density, Hazard, and Reverse Hazard Functions

Masaaki Sibuya

Stochastic Ordering of Risks, Influence of Dependence, and A.S. Constructions

Ludger Rüschendorf

The q-Factorial Moments of Discrete q-Distributions and a Characterization of the Euler Distribution

Ch.A. Charalambides and N. Papadatos

On the Characterization of Distributions Through the Properties of Conditional Expectations of Order Statistics

I. Bairamov and O. Gebizlioglu

Characterization of the Exponential Distribution by Conditional Expectations of Generalized Spacings

Erhard Cramer and Udo Kamps

Some Characterizations of Exponential Distribution Based on Progressively Censored Order Statistics

N. Balakrishnan and S.V. Malov

A Note on Regressing Order Statistics and Record Values

I. Bairamov and N. Balakrishnan

Generalized Pareto Distributions and Their Characterizations

Majid Asadi

On Some Characteristic Properties of the Uniform Distribution

G. Arslan, M. Ahsanullah, and I.G. Bairamov

Characterizations of Multivariate Distributions Involving Conditional Specification and/or Hidden Truncation

Barry C. Arnold

Bivariate Matsumoto-Yor Property and Related Characterizations

Konstancja Bobecka and Jacek Wesolowski

First Principal Component Characterization of a Continuous Random Variable

Carles M. Cuadras

The Lawless-Wang's Operational Ridge Regression Estimator Under the LINEX Loss Function

Esra Akdeniz and Fikri Akdeniz

On the Distributions of the Reference Dose and Its Application in Health Risk Assessment

Mehdi Razzaghi

Subject Index

Name: Advances on Models, Characterizations and Applications (Hardback) – Chapman and Hall/CRC 
Description: Edited by N. Balakrishnan, I. G. Bairamov, O. L. GebizliogluContributors: Barry C. Arnold, CH. A. Charalambides, Erhard Cramer, Esra Akdeniz, G. Arslan, Majid Asadi, Konstancja Bobecka, Carles M. Cuadras, Ludger Ruschendorf, Mehdi Razzaghi, Masaaki Sibuya, Udo Kamps, M. Ahsaah, Fikri Akdeniz, S. V. Malov, N. Papadatos, Jacek Wesolowski. 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...
Categories: Statistical Theory & Methods