G Families of Probability Distributions

Theory and Practices

Irfan Ali editor Mir Masoom Ali editor Haitham M Yousof editor Mohamed Ibrahim Mohamed Ahmed editor

Format:Paperback

Publisher:Taylor & Francis Ltd

Published:8th Oct '24

£56.99

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G Families of Probability Distributions cover

Statistical distributions are essential tools to model the characteristics of datasets, such as right or left skewness, bi-modality or multi-modality observed in different applied sciences, such as engineering, medicine, and finance. The well-known distributions like normal, Weibull, gamma and Lindley are extensively used because of their simple forms and identifiability properties. In the last decade, researchers have focused on the more complex and flexible distributions, referred to as Generalized or simply G families of probability distributions, to increase the modelling capability of these distributions by adding one or more shape parameters.

The main aim of this edited book is to present new contributions by researchers in the field of G families of probability distributions. The book will help researchers to:

  • Develop new univariate continuous and discrete G families of probability distributions.
  • Develop new bivariate continuous and discrete G families of probability distributions.
  • Derive beneficial mathematical properties such as ordinary and incomplete moments, moment generating functions, residual life and reversed residual life functions, order statistics, quantile spread ordering and entropies, and some bivariate and multivariate extensions of the new and existing models using a simple-type copula.
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ISBN: 9781032140681

Dimensions: unknown

Weight: 671g

358 pages