Ordered Random Variables: Theory and Applications
Authors: Muhammad Qaiser Shahbaz, Mohammad Ahsanullah, Saman Hanif Shahbaz, Bander M. Al-Zahrani
Self learning approach for various models of ordered random variables
Several examples for various models of ordered random variables are added
Models for descendingly ordered variables are discussed
Recurrence relations for moments under various models are presented
Inference and characterization of distributions based upon various models of ordered random variables
Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation. The general model for ordered random variables, known as Generalized Order Statistics has been introduced relatively recently by Kamps (1995).
Table of contents
Front Matter
Pages i-xii
Introduction
Pages 1-6
Order Statistics
Pages 7-75
Record Values
Pages 77-123
The Generalized Order Statistics
Pages 125-175
Dual Generalized Order Statistics
Pages 177-222
Some Uses of Ordered Random Variables
Pages 223-251
Characterizations of Distribution
Pages 253-271
Extreme Value Distributions
Pages 273-287
Back Matter
Pages 289-294
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