Advances on Models, Characterizations and Applications -

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Résumé :
Advances on Models, Characterizations and Applications is timely reference that offers up-to-date information on many recent advances in the field. Comprising fourteen self-contained chapters contributed by internationally renowned experts, it delineates recent developments on the 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. As a whole, the book reflects the deep importance of the properties of statistical distributions and is a wecome addition to the literature.

Biographie:
N. Balakrishnan, I. G. Bairamov, O. L. Gebizlioglu

Sommaire:
The Shapes of the Probability Density, Hazard, and Reverse Hazard Functions. Stochastic Ordering of Risks, Influence of Dependence, and A.S. Constructions. The q-Factorial Moments of Discrete q-Distributions and a Characterization of the Euler Distribution. On the Characterization of Distributions Through the Properties of Conditional Expectations of Order Statistics. Characterization of the Exponential Distribution by Conditional Expectations of Generalized Spacings. Some Characterizations of Exponential Distribution Based on Progressively Censored Order Statistics. A Note on Regressing Order Statistics and Record Values. Generalized Pareto Distributions and Their Characterizations. On Characteristic Properties of the Uniform Distribution. Characterizations of Multivariate Distributions Involving Conditional Specification and/or Hidden Truncation. Bivariate Matsumoto-Yor Property and Related Characterizations. First Principal Component Characterization of a Continuous Random Variable. The Lawless-Wang's Operational Ridge Regression Estimator Under the Linex Loss Function. On the Distributions of the Reference Dose and Its Application in Health Risk Assessment. Subject Index.