
Univariate Families of Distributions
CRC Press
1st Edition
Will be published approx. on 11. March 2026
Book
Hardback
268 pages
978-1-041-15051-0 (ISBN)
Description
This book offers a comprehensive exploration of popular continuous distribution families, including Exponentiated, Beta, Kumaraswamy, T-X, and Transmuted. It details methods for developing new distribution families, their properties, and inference. Practical applications of the members of families are enhanced by R code for maximum likelihood estimation.
This resource is invaluable for studies into distribution theory and related fields, providing a consolidated knowledge base and facilitating the development of novel families of distributions and their members. The book's significance lies in its consolidated and comprehensive treatment of contemporary distribution families, which have revolutionized real-life data fitting. The book presents mechanisms, properties, and inferential methods for families like Beta, T-X, and Transmuted families in one place. Key topics on cumulative distribution function, reliability analysis, and maximum likelihood estimation are discussed for the reader's learning. The inclusion of R codes for maximum likelihood estimation offers practical utility in applying these distributions. Furthermore, the book actively encourages the development of new distribution families and members, fostering innovation in the field. Its detailed coverage of various families and their properties, coupled with accessible explanations, makes it a crucial asset for both established researchers and those new to distribution theory.
The target audience includes graduate and postgraduate statistics students, research fellows in distribution theory, and readers in allied fields like mathematics and physics.
This resource is invaluable for studies into distribution theory and related fields, providing a consolidated knowledge base and facilitating the development of novel families of distributions and their members. The book's significance lies in its consolidated and comprehensive treatment of contemporary distribution families, which have revolutionized real-life data fitting. The book presents mechanisms, properties, and inferential methods for families like Beta, T-X, and Transmuted families in one place. Key topics on cumulative distribution function, reliability analysis, and maximum likelihood estimation are discussed for the reader's learning. The inclusion of R codes for maximum likelihood estimation offers practical utility in applying these distributions. Furthermore, the book actively encourages the development of new distribution families and members, fostering innovation in the field. Its detailed coverage of various families and their properties, coupled with accessible explanations, makes it a crucial asset for both established researchers and those new to distribution theory.
The target audience includes graduate and postgraduate statistics students, research fellows in distribution theory, and readers in allied fields like mathematics and physics.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate, Professional Reference, and Undergraduate Advanced
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 21 mm
Weight
637 gr
ISBN-13
978-1-041-15051-0 (9781041150510)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Muhammad Qaiser Shahbaz | Saman Hanif Shahbaz | Mohammad Ahsanullah
Univariate Families of Distributions
Book
approx. 03/2026
1st Edition
CRC Press
€76.80
Not yet published

Muhammad Qaiser Shahbaz | Saman Hanif Shahbaz | Mohammad Ahsanullah
Univariate Families of Distributions
E-Book
03/2026
Chapman and Hall
€68.49
Available for download

Muhammad Qaiser Shahbaz | Saman Hanif Shahbaz | Mohammad Ahsanullah
Univariate Families of Distributions
E-Book
03/2026
Chapman and Hall
€68.49
Available for download
Persons
Muhammad Qaiser Shahbaz is Professor of Statistics at King Abdulaziz University, Jeddah, Saudi Arabia. He is a well-established researcher in the field of statistics with significant contributions to academic literature and book publications. His work focuses mainly on Statistics, and he works in areas including Ordered Random Variables and Multivariate Techniques. He has also published works on statistical theory and applications.
Saman Hanif Shahbaz works at the Department of Statistics, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. He is an active researcher in statistical methods and analysis, with a focus on statistics, data analysis, and statistical estimation methods.
Mohammad Ahsanullah is Professor Emeritus at Rider University, Lawrenceville, New Jersey, USA. He has previously served in the Department of Management Sciences. He is a Fellow and life member of the American Statistical Association and a Fellow of the Royal Statistical Society.
Saman Hanif Shahbaz works at the Department of Statistics, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. He is an active researcher in statistical methods and analysis, with a focus on statistics, data analysis, and statistical estimation methods.
Mohammad Ahsanullah is Professor Emeritus at Rider University, Lawrenceville, New Jersey, USA. He has previously served in the Department of Management Sciences. He is a Fellow and life member of the American Statistical Association and a Fellow of the Royal Statistical Society.
Content
1. Some Preliminaries 2. Exponentiated-G Family 3. Beta-G Family 4. Kumaraswamy-G Family 5. The T-X Family 6. Transmuted-G Family 7. General Transmuted-G Families 8. Some Other Families