Articoli correlati a Estimation of Parameters of the Two-Parameter Rayleigh...
Estimation of Parameters of the Two-Parameter Rayleigh Distribution: Based on Progressive Type-II Censoring using the Newton-Raphson (NR) and the Expectation Maximation (EM) Algorithms - Brossura
Compra nuovo
Visualizza questo articolo
EUR 34,25
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costiRisultati della ricerca per Estimation of Parameters of the Two-Parameter Rayleigh...
Immagini fornite dal venditore
Estimation of Parameters of the Two-Parameter Rayleigh Distribution
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6202197471
ISBN 13: 9786202197472
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Njenga Dr. GachangiDr. Gachangi Njenga and Mr. Muriithi Daniel - Department of Statistics and Actuarial Science, Kenyatta University, Nairobi, KENYA.In this book, Maximum likelihood estimates for the shape and scale parameters of. Codice articolo 335815387
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Estimation of Parameters of the Two-Parameter Rayleigh Distribution
Editore:
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6202197471
ISBN 13: 9786202197472
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, Maximum likelihood estimates for the shape and scale parameters of Two- Parameters Rayleigh distribution are obtained based on progressive type-II censored samples using the Newton-Raphson (NR) method and the Expectation-maximization (EM) algorithm. A simple algorithm of Balakrishnan and Sandhu (1995) and Aggarwala and Balakrishnan (2000) is used for generating progressive type-II censored samples. Based on this censoring scheme, approximate asymptotic variances are derived and used to construct approximate confidence intervals of the parameters. The performance of these two maximum likelihood estimation methods is compared through simulation results of biases, root mean squared error (RMSE), and the coverage rate. Simulation results showed that in nearly all the combination of simulation conditions the estimators based on the EM algorithm have small biases, small variances, the small root of mean squared error, and narrower widths of confidence intervals compared to those obtained using the NR method. Finally, two illustrative examples with real-life data sets are provided to illustrate how maximum likelihood estimation using the two algorithms works in practice. 76 pp. Englisch. Codice articolo 9786202197472
Quantità: 2 disponibili
Immagini fornite dal venditore
Estimation of Parameters of the Two-Parameter Rayleigh Distribution
Editore:
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6202197471
ISBN 13: 9786202197472
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -In this book, Maximum likelihood estimates for the shape and scale parameters of Two- Parameters Rayleigh distribution are obtained based on progressive type-II censored samples using the Newton-Raphson (NR) method and the Expectation-maximization (EM) algorithm. A simple algorithm of Balakrishnan and Sandhu (1995) and Aggarwala and Balakrishnan (2000) is used for generating progressive type-II censored samples. Based on this censoring scheme, approximate asymptotic variances are derived and used to construct approximate confidence intervals of the parameters. The performance of these two maximum likelihood estimation methods is compared through simulation results of biases, root mean squared error (RMSE), and the coverage rate. Simulation results showed that in nearly all the combination of simulation conditions the estimators based on the EM algorithm have small biases, small variances, the small root of mean squared error, and narrower widths of confidence intervals compared to those obtained using the NR method. Finally, two illustrative examples with real-life data sets are provided to illustrate how maximum likelihood estimation using the two algorithms works in practice.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Codice articolo 9786202197472
Quantità: 2 disponibili
Immagini fornite dal venditore
Estimation of Parameters of the Two-Parameter Rayleigh Distribution : Based on Progressive Type-II Censoring using the Newton-Raphson (NR) and the Expectation Maximation (EM) Algorithms
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6202197471
ISBN 13: 9786202197472
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, Maximum likelihood estimates for the shape and scale parameters of Two- Parameters Rayleigh distribution are obtained based on progressive type-II censored samples using the Newton-Raphson (NR) method and the Expectation-maximization (EM) algorithm. A simple algorithm of Balakrishnan and Sandhu (1995) and Aggarwala and Balakrishnan (2000) is used for generating progressive type-II censored samples. Based on this censoring scheme, approximate asymptotic variances are derived and used to construct approximate confidence intervals of the parameters. The performance of these two maximum likelihood estimation methods is compared through simulation results of biases, root mean squared error (RMSE), and the coverage rate. Simulation results showed that in nearly all the combination of simulation conditions the estimators based on the EM algorithm have small biases, small variances, the small root of mean squared error, and narrower widths of confidence intervals compared to those obtained using the NR method. Finally, two illustrative examples with real-life data sets are provided to illustrate how maximum likelihood estimation using the two algorithms works in practice. Codice articolo 9786202197472
Quantità: 1 disponibili
Foto dell'editore
Estimation of Parameters of the Two-Parameter Rayleigh Distribution
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6202197471
ISBN 13: 9786202197472
Nuovo
Brossura
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 26401061476
Quantità: 4 disponibili
Foto dell'editore
Estimation of Parameters of the Two-Parameter Rayleigh Distribution
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6202197471
ISBN 13: 9786202197472
Nuovo
Brossura
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. PRINT ON DEMAND. Codice articolo 18401061486
Quantità: 4 disponibili
Foto dell'editore
Estimation of Parameters of the Two-Parameter Rayleigh Distribution
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6202197471
ISBN 13: 9786202197472
Nuovo
Brossura
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand. Codice articolo 395315643
Quantità: 4 disponibili