Tipo de artículo
Condición
Encuadernación
Más atributos
Ubicación del vendedor
Valoración de los vendedores
Publicado por LAP LAMBERT Academic Publishing Jul 2016, 2016
ISBN 10: 3659913499ISBN 13: 9783659913495
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The idea of writing a monograph on the WEIBULL distribution first came to me in the late 1960s when-at the Technical University of Berlin (West). This study focus to Finding the unknown parameters estimators for Weibull distribution by using the classical method (Maximum Likelihood Estimator), the Bayesian method (Bayesian Shrinkage Estimator), and the robust method (M- and Median/MAD Estimator). Because this data do not have a problem, the researcher has generalized this case by studying the simulation to include the natural data and the data that contain the outliers (contaminated data). After comparing the numerical results by using the mean squares error measure to find out the more efficient statistical methods in the estimation, the results of the study have shown that the robust method is the best statistical method to address the extremism in the data where it is used in the contaminated and natural data thesis on strategies of maintenance and replacement. And I had given analytical work to to students and to practitioners. 96 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659913499ISBN 13: 9783659913495
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The idea of writing a monograph on the WEIBULL distribution first came to me in the late 1960s when-at the Technical University of Berlin (West). This study focus to Finding the unknown parameters estimators for Weibull distribution by using the classical method (Maximum Likelihood Estimator), the Bayesian method (Bayesian Shrinkage Estimator), and the robust method (M- and Median/MAD Estimator). Because this data do not have a problem, the researcher has generalized this case by studying the simulation to include the natural data and the data that contain the outliers (contaminated data). After comparing the numerical results by using the mean squares error measure to find out the more efficient statistical methods in the estimation, the results of the study have shown that the robust method is the best statistical method to address the extremism in the data where it is used in the contaminated and natural data thesis on strategies of maintenance and replacement. And I had given analytical work to to students and to practitioners.
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659913499ISBN 13: 9783659913495
Librería: moluna, Greven, Alemania
Libro
Condición: New.
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659913499ISBN 13: 9783659913495
Librería: Revaluation Books, Exeter, Reino Unido
Libro
Paperback. Condición: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.