Advances on Models, Characterizations and Applications

Herausgeber: Balakrishnan, N.; Gebizlioglu, O L; Bairamov, I G

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 256
• Erscheinungstermin: 19. September 2019
• Englisch
• Abmessung: 229mm x 152mm x 13mm
• Gewicht: 345g
• ISBN-13: 9780367392703
• ISBN-10: 0367392704
• Artikelnr.: 57814887

Autorenporträt

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

Inhaltsangabe

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.