Statistical Inference from Modified Weibull Distribution: Bayesian and Non Bayesian Approches - Softcover
Synopsis
Models with bathtub-shaped failure rate function are useful in reliability analysis and particularly in reliability related decision making and cost analysis. A modified Weibull distribution (MWD) was recently proposed by Lai et al.(2003) as a generalization of the two-parameter Weibull distribution. This distribution has both the two-parameter Weibull and the type I extreme value distributions as special cases. This lifetime distribution is able to model data with bathtub-shaped hazard rate, which is an important feature for engineering reliability analysis. Parameter estimation is crucial for the model to be built and is often a difficult problem, especially for distributions with more than 2 parameters. In this book, maximum likelihood estimation (MLE) is studied in detail. Several techniques regarding this estimation method are proposed to simplify computation. Another estimation method called Bayesian is used to estimate the parameters as well as some life parameters (reliability and hazard functions). We consider estimation of the modified Weibull parameters based on progressively Type II censored data, an adapptive progressively Type II censored data and upper record values.
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About the Author
A. H. Abd Ellah has obtained 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
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Statistical Inference from Modified Weibull Distribution
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ISBN 10: 365949285X
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Models with bathtub-shaped failure rate function are useful in reliability analysis and particularly in reliability related decision making and cost analysis. A modified Weibull distribution (MWD) was recently proposed by Lai et al.(2003) as a generalization of the two-parameter Weibull distribution. This distribution has both the two-parameter Weibull and the type I extreme value distributions as special cases. This lifetime distribution is able to model data with bathtub-shaped hazard rate, which is an important feature for engineering reliability analysis. Parameter estimation is crucial for the model to be built and is often a difficult problem, especially for distributions with more than 2 parameters. In this book, maximum likelihood estimation (MLE) is studied in detail. Several techniques regarding this estimation method are proposed to simplify computation. Another estimation method called Bayesian is used to estimate the parameters as well as some life parameters (reliability and hazard functions). We consider estimation of the modified Weibull parameters based on progressively Type II censored data, an adapptive progressively Type II censored data and upper record values. 140 pp. Englisch. Seller Inventory # 9783659492853
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Statistical Inference from Modified Weibull Distribution
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Statistical Inference from Modified Weibull Distribution
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Statistical Inference from Modified Weibull Distribution
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abd Ellah Ahmed HamedA. H. Abd Ellah has obtained 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 as. Seller Inventory # 5159741
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Statistical Inference from Modified Weibull Distribution
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Statistical Inference from Modified Weibull Distribution
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Models with bathtub-shaped failure rate function are useful in reliability analysis and particularly in reliability related decision making and cost analysis. A modified Weibull distribution (MWD) was recently proposed by Lai et al.(2003) as a generalization of the two-parameter Weibull distribution. This distribution has both the two-parameter Weibull and the type I extreme value distributions as special cases. This lifetime distribution is able to model data with bathtub-shaped hazard rate, which is an important feature for engineering reliability analysis. Parameter estimation is crucial for the model to be built and is often a difficult problem, especially for distributions with more than 2 parameters. In this book, maximum likelihood estimation (MLE) is studied in detail. Several techniques regarding this estimation method are proposed to simplify computation. Another estimation method called Bayesian is used to estimate the parameters as well as some life parameters (reliability and hazard functions). We consider estimation of the modified Weibull parameters based on progressively Type II censored data, an adapptive progressively Type II censored data and upper record values.Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch. Seller Inventory # 9783659492853
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Statistical Inference from Modified Weibull Distribution | Bayesian and Non Bayesian Approches
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Taschenbuch. Condition: Neu. Statistical Inference from Modified Weibull Distribution | Bayesian and Non Bayesian Approches | Ahmed Hamed Abd Ellah (u. a.) | Taschenbuch | 140 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659492853 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 105562804
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Statistical Inference from Modified Weibull Distribution : Bayesian and Non Bayesian Approches
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365949285X
ISBN 13: 9783659492853
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Models with bathtub-shaped failure rate function are useful in reliability analysis and particularly in reliability related decision making and cost analysis. A modified Weibull distribution (MWD) was recently proposed by Lai et al.(2003) as a generalization of the two-parameter Weibull distribution. This distribution has both the two-parameter Weibull and the type I extreme value distributions as special cases. This lifetime distribution is able to model data with bathtub-shaped hazard rate, which is an important feature for engineering reliability analysis. Parameter estimation is crucial for the model to be built and is often a difficult problem, especially for distributions with more than 2 parameters. In this book, maximum likelihood estimation (MLE) is studied in detail. Several techniques regarding this estimation method are proposed to simplify computation. Another estimation method called Bayesian is used to estimate the parameters as well as some life parameters (reliability and hazard functions). We consider estimation of the modified Weibull parameters based on progressively Type II censored data, an adapptive progressively Type II censored data and upper record values. Seller Inventory # 9783659492853
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