G families of probability distributions theory and practices / editors, Mir Masoom Ali, George and Frances Ball Distinguished Professor Emeritus of Statistics, Ball State University, Muncie, Indiana, USA, Irfan Ali, Department of Statistics & Operations Research, Aligarh Muslim University, Aligarh, India, Haitham M. Yousof, Department of Statistics, Mathematics and Insurance, Faculty of Commerce, Benha University, Egypt, Mohamed Ibrahim, Department of Applied, Mathematical and Actuarial Statistics, Faculty of Commerce, Damietta University, Damietta, Egypt.

Other author Ali, Mir Masoom, 1937-
Other author Ali, Irfan.
Other author Ibrahim, Mohamed.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, Taylor & Francis Group, 2023.
Descriptionvi, 358 pages : illustrations and maps ; 27 cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Abstract "Statistical distributions are important tools to model the characteristics of data sets observed in different applied sciences such as engineering, medicine, and finance, among others. In the last decade researchers focused on the more complex and flexible distributions, referred to as Generalized or simply G families of continuous distributions to increase the modeling ability of these distributions by adding one or more shape parameters. This book will help future and current researchers in the field of G families of probability distributions"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022039180
ISBN9781032140650 (hbk)
ISBN9781032140681 (pbk)
ISBN(ebk)

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