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Statistical Inferences Using Censored Samples & Record Values from GPD: Markov Chain Monte Carlo (MCMC) Methods - Brossura
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In many life testing and reliability studies, complete information on the failure times of all the experimental units may not be obtained for various reasons. Hence, censoring is very common in life testing experiments. Sometimes the experiments could not be under control completely because units may break accidentally. However, type I and type II censoring schemes do not allow for units to be removed from the test during the life testing duration. There are many cases in life testing experiments in which units are lost or removed from the test before failure. Progressive censoring is useful in both industrial life testing applications and clinical settings; it allows the removal of surviving experimental units before the termination of the test. Progressive first-failure-censoring and an adaptive progressive type II censoring schemes will be a good choice in this situation. In some cases the available data in the form of records, then we see how record data can be used to provide inferences for the stress strength reliability model R when both samples X and Y are upper record values and the coefficient of variation as well as the parameters of generalized Pareto distribution GPD.
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L'autore
Dr. Rashad Mohamed El-Sagheer Soliman is a lecture of Mathematical statistics at Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt. His research interests include statistical inference, theory of reliability, order statistics, censored data, life testing, distribution theory. He has published several papers and books.
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Statistical Inferences Using Censored Samples & Record Values from GPD
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Scholars' Press Jan 2014, 2014
ISBN 10: 3639706110
ISBN 13: 9783639706116
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In many life testing and reliability studies, complete information on the failure times of all the experimental units may not be obtained for various reasons. Hence, censoring is very common in life testing experiments. Sometimes the experiments could not be under control completely because units may break accidentally. However, type I and type II censoring schemes do not allow for units to be removed from the test during the life testing duration. There are many cases in life testing experiments in which units are lost or removed from the test before failure. Progressive censoring is useful in both industrial life testing applications and clinical settings; it allows the removal of surviving experimental units before the termination of the test. Progressive first-failure-censoring and an adaptive progressive type II censoring schemes will be a good choice in this situation. In some cases the available data in the form of records, then we see how record data can be used to provide inferences for the stress strength reliability model R when both samples X and Y are upper record values and the coefficient of variation as well as the parameters of generalized Pareto distribution GPD. 180 pp. Englisch. Codice articolo 9783639706116
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Statistical Inferences Using Censored Samples & Record Values from GPD
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: EL-Sagheer RashadDr. Rashad Mohamed El-Sagheer Soliman is a lecture of Mathematical statistics at Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt. His research interests include statistical inference, t. Codice articolo 4998993
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Statistical Inferences Using Censored Samples & Record Values from GPD : Markov Chain Monte Carlo (MCMC) Methods
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In many life testing and reliability studies, complete information on the failure times of all the experimental units may not be obtained for various reasons. Hence, censoring is very common in life testing experiments. Sometimes the experiments could not be under control completely because units may break accidentally. However, type I and type II censoring schemes do not allow for units to be removed from the test during the life testing duration. There are many cases in life testing experiments in which units are lost or removed from the test before failure. Progressive censoring is useful in both industrial life testing applications and clinical settings; it allows the removal of surviving experimental units before the termination of the test. Progressive first-failure-censoring and an adaptive progressive type II censoring schemes will be a good choice in this situation. In some cases the available data in the form of records, then we see how record data can be used to provide inferences for the stress strength reliability model R when both samples X and Y are upper record values and the coefficient of variation as well as the parameters of generalized Pareto distribution GPD. Codice articolo 9783639706116
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Statistical Inferences Using Censored Samples & Record Values From Gpd: Markov Chain Monte Carlo (Mcmc) Methods
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Paperback. Condizione: Brand New. 180 pages. 8.66x5.91x0.41 inches. In Stock. Codice articolo 3639706110
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Statistical Inferences Using Censored Samples & Record Values from GPD
Editore:
Scholars' Press Jan 2014, 2014
ISBN 10: 3639706110
ISBN 13: 9783639706116
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In many life testing and reliability studies, complete information on the failure times of all the experimental units may not be obtained for various reasons. Hence, censoring is very common in life testing experiments. Sometimes the experiments could not be under control completely because units may break accidentally. However, type I and type II censoring schemes do not allow for units to be removed from the test during the life testing duration. There are many cases in life testing experiments in which units are lost or removed from the test before failure. Progressive censoring is useful in both industrial life testing applications and clinical settings; it allows the removal of surviving experimental units before the termination of the test. Progressive first-failure-censoring and an adaptive progressive type II censoring schemes will be a good choice in this situation. In some cases the available data in the form of records, then we see how record data can be used to provide inferences for the stress strength reliability model R when both samples X and Y are upper record values and the coefficient of variation as well as the parameters of generalized Pareto distribution GPD.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 180 pp. Englisch. Codice articolo 9783639706116
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Statistical Inferences Using Censored Samples & Record Values from GPD | Markov Chain Monte Carlo (MCMC) Methods
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Taschenbuch. Condizione: Neu. Statistical Inferences Using Censored Samples & Record Values from GPD | Markov Chain Monte Carlo (MCMC) Methods | Rashad El-Sagheer (u. a.) | Taschenbuch | 180 S. | Englisch | 2014 | Scholars' Press | EAN 9783639706116 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 105471729
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