Univariate Families of Distributions

Language: English

Published by Taylor and Francis Ltd, GB, 2026

1041150504 / 9781041150503

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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.

Seller Inventory # LU-9781041150503

Title
Univariate Families of Distributions
Author
Muhammad Qaiser Shahbaz, Saman Hanif Shahbaz, Mohammad Ahsanullah
Publisher
Taylor and Francis Ltd, GB
Publication year
2026
Condition
New
Binding
Paperback
Language
English
ISBN 10
1041150504
ISBN 13
9781041150503
Item weight
580 grams

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