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Statistical Inference for Inverse Weibull Model - Based on Generalized Order Statistics

von Abd Ellah, Ahmed Hamed
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€ 81,30
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Abd Ellah, Ahmed Hamed Statistical Inference for Inverse Weibull Model - Based on Generalized Order Statistics
Abd Ellah, Ahmed Hamed - Statistical Inference for Inverse Weibull Model - Based on Generalized Order Statistics

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Lieferung: zwischen 2021-05-14 und 2021-05-18
Verkauf & Versand: Dodax EU

Beschreibung

The main object of this book is to make statistical inferences (recurrence relations, estimation and prediction) for inverse Weibull model using generalized order statistics. This book has been organized and presented in six Chapters. Basic concepts and some other definitions and notations are given. A review of some of the work done concerning the generalized order statistics (progressive censored data, ordinary order statistics and lower k-record values) on the recurrence relations, the Bayesian and non- Bayesian approaches are given. We are concerned with the problem of estimation of the parameters and the reliability function of inverse Weibull model based on generalized order statistics. For this purpose, the maximum likelihood and Bayes estimators are used. Bayes estimators with respect to balanced squared error loss function and Balanced LINEX loss function are obtained. This was done under assumption of discrete-continuous mixture prior for the unknown model parameters. A Bayesian approach using Markov chain Monte Carlo techniques to generate from the posterior distributions is also developed. Our results are specialized to Progressively Type-II censored data.

Mitwirkende

Autor:
Abd Ellah, Ahmed Hamed
Soliman, Ahmed
Fawzy, Mohamad

Weitere Informationen

Biografie:
A. H. Abd Ellah has obtained his a Ph.D. degree in mathematical statistics from South Valley University. From 1998 to 2006, he has been as an Assistant professor in Teachers College, Saudi Arabia. He is currently an associate professor at sohag university. His research interests include prediction, estimation, Simulation and distribution theory.
Sprache:
Englisch
Seitenanzahl:
260
Medientyp:
Taschenbuch
Verlag:
LAP Lambert Academic Publishing

Stammdaten

Produkttyp :
Taschenbuch
Verpackungsabmessungen:
0.22 x 0.15 x 0.015 m; 0.435 kg
GTIN:
09783659345968
DUIN:
5G9DQ5H8S22
€ 81,30
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