Characterizations of Recently Introduced Univariate Continuous Distributions II

Characterizations of Recently Introduced Univariate Continuous Distributions II
Author :
Publisher :
Total Pages : 436
Release :
ISBN-10 : 1536150959
ISBN-13 : 9781536150957
Rating : 4/5 (59 Downloads)

Book Synopsis Characterizations of Recently Introduced Univariate Continuous Distributions II by : G. G. Hamedani

Download or read book Characterizations of Recently Introduced Univariate Continuous Distributions II written by G. G. Hamedani and published by . This book was released on 2019-05-17 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is, as far as the author has gathered, the second of its kind (the first one was published by Nova in 2017 with coauthors Hamedani and Maadooliat) which presents various characterizations of a wide variety of continuous distributions. These two monographs could also be used as sources to prevent reinventing and duplicating the already exiting distributions. This current book consists of seven chapters. The first chapter lists cumulative and density functions of two hundred univariate distributions. Chapter two provides characterizations of these distributions: (i) based on the ration of two truncated moments; (ii) in terms of the hazard function; (iii) in terms of the reverse hazard function; (iv) based on the conditional expectation of certain functions of the random variable. Chapter three includes the characterizations of twenty distributions, including a published paper (Hamedani and Safavimanesh, 2017). Chapter four presents characterizations of thirty six distributions, and contains a published paper (Hamedani, 2017). Chapter five covers the characterizations of forty one distributions, as well as a published paper (Hamedani, 2018a). Chapter six presents characterizations of eighty distributions, and also contains a published paper (Hamedani, 2018b). Finally, chapter seven consists of seventy proposed distributions. The main reason to include previously published papers in Chapters 3-6 is to provide a rather complete source for the interested researchers who would want to avoid reinventing the existing distributions.


Characterizations of Recently Introduced Univariate Continuous Distributions II Related Books

Characterizations of Recently Introduced Univariate Continuous Distributions II
Language: en
Pages: 436
Authors: G. G. Hamedani
Categories:
Type: BOOK - Published: 2019-05-17 - Publisher:

DOWNLOAD EBOOK

This monograph is, as far as the author has gathered, the second of its kind (the first one was published by Nova in 2017 with coauthors Hamedani and Maadooliat
Characterizations of Univariate Continuous Distributions
Language: en
Pages: 130
Authors: Mohammad Ahsanullah
Categories: Mathematics
Type: BOOK - Published: 2017-04-18 - Publisher: Springer

DOWNLOAD EBOOK

Provides in an organized manner characterizations of univariate probability distributions with many new results published in this area since the 1978 work of Go
Continuous Univariate Distributions, Volume 1
Language: en
Pages: 0
Authors: Norman L. Johnson
Categories: Mathematics
Type: BOOK - Published: 1994-10-28 - Publisher: Wiley-Interscience

DOWNLOAD EBOOK

The definitive reference for statistical distributions Continuous Univariate Distributions, Volume 1 offers comprehensive guidance toward the most commonly used
Univariate Discrete Distributions
Language: en
Pages: 676
Authors: Norman L. Johnson
Categories: Mathematics
Type: BOOK - Published: 2005-10-03 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson C
Probability Distributions Used in Reliability Engineering
Language: en
Pages: 220
Authors: Andrew N O'Connor
Categories: Mathematics
Type: BOOK - Published: 2011 - Publisher: RIAC

DOWNLOAD EBOOK

The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters