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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041150504 ISBN 13: 9781041150503
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Aggiungi al carrelloPaperback. Condizione: New. 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.
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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041150504 ISBN 13: 9781041150503
Paperback. Condizione: New. 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.
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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
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Univariate Families of Distributions
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Aggiungi al carrelloPaperback. Condizione: Brand New. 268 pages. 9.18x6.12 inches. In Stock.
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Univariate Families of Distributions
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Univariate Families of Distributions
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Aggiungi al carrelloPaperback. Condizione: Brand New. 268 pages. 9.18x6.12x9.21 inches. In Stock.
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Ordered Random Variables : Theory and Applications
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Ordered Random Variables: Theory and Applications (Atlantis Studies in Probability and Statistics, 9)
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Aggiungi al carrelloCondizione: New. 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 .
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Univariate Families of Distributions
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041150504 ISBN 13: 9781041150503
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Paperback. Condizione: New. 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.
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Ordered Random Variables : Theory and Applications
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Ordered Random Variables: Theory and Applications (Atlantis Studies in Probability and Statistics, 9)
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Some Developments in Unequal Probability Sampling | Selection Procedures and Estimators
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3838344855 ISBN 13: 9783838344850
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Some Developments in Unequal Probability Sampling | Selection Procedures and Estimators | Muhammad Qaiser Shahbaz (u. a.) | Taschenbuch | 184 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783838344850 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Ordered Random Variables : Theory and Applications
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Ordered Random Variables: Theory and Applications: 9 (Atlantis Studies in Probability and Statistics)
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Ordered Random Variables :Theory and Applications
Lingua: Inglese
Editore: Atlantis Press (Zeger Karssen), 2016
ISBN 10: 9462392242 ISBN 13: 9789462392243
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. Series: Atlantis Studies in Probability and Statistics. Num Pages: 294 pages, 3 black & white illustrations, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 625. . 2016. Hardback. . . . .
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Ordered Random Variables : Theory and Applications
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Univariate Families of Distributions
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041150504 ISBN 13: 9781041150503
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. 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.
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General Murthy''s Estimator : Sampling with Unequal Probabilities
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838398084 ISBN 13: 9783838398082
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book intended to cover the overview of unequal probability sampling and Generalization of Murthy''s (1957) estimator. The researcher in the field of survey sampling can get benefit from this book. This book covers an overview of the unequal probability sampling, work done for Horvitz and Thompson (1952), Raj(1956) and Murthy (1957) estimators. Simulation and Empirical studies are conducted to discuss the performance of various available estimators for unequal probability sampling.
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Univariate Families of Distributions
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