Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Atlantis Studies in Probability and Statistics (ATLANTISSPS, volume 9)
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Table of contents (8 chapters)
Keywords
About this book
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).
Authors and Affiliations
Bibliographic Information
Book Title: Ordered Random Variables: Theory and Applications
Authors: Muhammad Qaiser Shahbaz, Mohammad Ahsanullah, Saman Hanif Shahbaz, Bander M. Al-Zahrani
Series Title: Atlantis Studies in Probability and Statistics
DOI: https://doi.org/10.2991/978-94-6239-225-0
Publisher: Atlantis Press Paris
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Atlantis Press and the author(s) 2016
Hardcover ISBN: 978-94-6239-224-3Published: 15 December 2016
eBook ISBN: 978-94-6239-225-0Published: 29 November 2016
Series ISSN: 1879-6893
Series E-ISSN: 1879-6907
Edition Number: 1
Number of Pages: XII, 294
Number of Illustrations: 3 b/w illustrations
Topics: Statistics, general