The present book, define generalized process capability index (GPCI) which could be used for more general purposes and could be used for continuous (normal and non-normal both) as well as discrete quality characteristic. Even it would be good if unilateral as well as bilateral specifications are to be considered also. The estimate of GPCI possesses good distributional and statistical properties. The proposed GPCI is defined as the ratio of proportion of specification conformance to proportion of desired conformance. The GPCI overcomes many deficiencies of the standard PCIs and all most all the PCIs defined in the literature are directly or indirectly associated with it. At the same time it would be user friendly i.e., easy and comprehensive to practitioners as well as to scientists. The maximum likelihood estimator (MLE), the minimum variance unbiased estimator (MVUE) and the lower confidence limits connected to this index is to be studied. When there are some prior information, Bayes estimate and its credible interval are to be studied. A curve fitting method is to be proposed and to be compared with other standard curve fitting methods.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present book, define generalized process capability index (GPCI) which could be used for more general purposes and could be used for continuous (normal and non-normal both) as well as discrete quality characteristic. Even it would be good if unilateral as well as bilateral specifications are to be considered also. The estimate of GPCI possesses good distributional and statistical properties. The proposed GPCI is defined as the ratio of proportion of specification conformance to proportion of desired conformance. The GPCI overcomes many deficiencies of the standard PCIs and all most all the PCIs defined in the literature are directly or indirectly associated with it. At the same time it would be user friendly i.e., easy and comprehensive to practitioners as well as to scientists. The maximum likelihood estimator (MLE), the minimum variance unbiased estimator (MVUE) and the lower confidence limits connected to this index is to be studied. When there are some prior information, Bayes estimate and its credible interval are to be studied. A curve fitting method is to be proposed and to be compared with other standard curve fitting methods. 88 pp. Englisch. N° de réf. du vendeur 9783659833946
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. N° de réf. du vendeur 3659833940
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha MahendraMahendra Saha is working as an Assist. Prof. in Dept. of Statistics, CURAJ, from March, 2013. His research interest is on Industrial & Actuarial Statistics, Lifetime Data Analysis .Sudhansu S. Maiti is working as a Prof. N° de réf. du vendeur 158962965
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. Neuware -The present book, define generalized process capability index (GPCI) which could be used for more general purposes and could be used for continuous (normal and non-normal both) as well as discrete quality characteristic. Even it would be good if unilateral as well as bilateral specifications are to be considered also. The estimate of GPCI possesses good distributional and statistical properties. The proposed GPCI is defined as the ratio of proportion of specification conformance to proportion of desired conformance. The GPCI overcomes many deficiencies of the standard PCIs and all most all the PCIs defined in the literature are directly or indirectly associated with it. At the same time it would be user friendly i.e., easy and comprehensive to practitioners as well as to scientists. The maximum likelihood estimator (MLE), the minimum variance unbiased estimator (MVUE) and the lower confidence limits connected to this index is to be studied. When there are some prior information, Bayes estimate and its credible interval are to be studied. A curve fitting method is to be proposed and to be compared with other standard curve fitting methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. N° de réf. du vendeur 9783659833946
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present book, define generalized process capability index (GPCI) which could be used for more general purposes and could be used for continuous (normal and non-normal both) as well as discrete quality characteristic. Even it would be good if unilateral as well as bilateral specifications are to be considered also. The estimate of GPCI possesses good distributional and statistical properties. The proposed GPCI is defined as the ratio of proportion of specification conformance to proportion of desired conformance. The GPCI overcomes many deficiencies of the standard PCIs and all most all the PCIs defined in the literature are directly or indirectly associated with it. At the same time it would be user friendly i.e., easy and comprehensive to practitioners as well as to scientists. The maximum likelihood estimator (MLE), the minimum variance unbiased estimator (MVUE) and the lower confidence limits connected to this index is to be studied. When there are some prior information, Bayes estimate and its credible interval are to be studied. A curve fitting method is to be proposed and to be compared with other standard curve fitting methods. N° de réf. du vendeur 9783659833946
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Generalized Process Capability Index and its Statistical Inference | Process, Methodology and Applications | Mahendra Saha (u. a.) | Taschenbuch | 88 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659833946 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 103550734
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