Sinossi
This book present some extensions of model selection criteria based on incomplete or complete data. First, we have derived a corrected version of the KIC criterion, based on the Kullback's symmetric divergence for multiple and multivariate regression models and for univariate and multivariate autoregressive models. Its signal-to-noise ratios is pointed out in each case. In the presence of missing data, we derived and investigated a variant of KIC criterion. We examine the performance of the new criterion relative to other well known criteria in a large simulation study. Also, we present a variants of a Schwarz information criterion for model selection in the settings where the observed-data is incomplete. The performance of these criteria, relative to other well known criteria, is examined in a large simulation study. Finally, we study the asymptotic property and the performance of the repeated half sampling (RHS) criterion. Two cases are distinguish for the true model, either the candidate family of models does include the true model or does not include it. The performance of RHS criterion is compared with other criteria in a simulation study.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Some Model Selection Criteria based on Incomplete or...
Immagini fornite dal venditore
Some Model Selection Criteria based on Incomplete or Complete data
Editore:
Éditions Universitaires Européennes Feb 2018, 2018
ISBN 10: 620228109X
ISBN 13: 9786202281096
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 -This book present some extensions of model selection criteria based on incomplete or complete data. First, we have derived a corrected version of the KIC criterion, based on the Kullback's symmetric divergence for multiple and multivariate regression models and for univariate and multivariate autoregressive models. Its signal-to-noise ratios is pointed out in each case. In the presence of missing data, we derived and investigated a variant of KIC criterion. We examine the performance of the new criterion relative to other well known criteria in a large simulation study. Also, we present a variants of a Schwarz information criterion for model selection in the settings where the observed-data is incomplete. The performance of these criteria, relative to other well known criteria, is examined in a large simulation study. Finally, we study the asymptotic property and the performance of the repeated half sampling (RHS) criterion. Two cases are distinguish for the true model, either the candidate family of models does include the true model or does not include it. The performance of RHS criterion is compared with other criteria in a simulation study. 108 pp. Englisch. Codice articolo 9786202281096
Compra nuovo
EUR 49,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Some Model Selection Criteria based on Incomplete or Complete data
Editore:
Éditions universitaires européennes, 2018
ISBN 10: 620228109X
ISBN 13: 9786202281096
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: Hafidi BezzaBezza Hafidi Professor of Higher Education, Ability to direct research in Statistics. Ibn Zohr University, Faculty of Sciences Agadir.This book present some extensions of model selection criteria based on incomplete o. Codice articolo 385939251
Compra nuovo
EUR 41,71
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Some Model Selection Criteria based on Incomplete or Complete data
Editore:
Éditions Universitaires Européennes Feb 2018, 2018
ISBN 10: 620228109X
ISBN 13: 9786202281096
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book present some extensions of model selection criteria based on incomplete or complete data. First, we have derived a corrected version of the KIC criterion, based on the Kullback's symmetric divergence for multiple and multivariate regression models and for univariate and multivariate autoregressive models. Its signal-to-noise ratios is pointed out in each case. In the presence of missing data, we derived and investigated a variant of KIC criterion. We examine the performance of the new criterion relative to other well known criteria in a large simulation study. Also, we present a variants of a Schwarz information criterion for model selection in the settings where the observed-data is incomplete. The performance of these criteria, relative to other well known criteria, is examined in a large simulation study. Finally, we study the asymptotic property and the performance of the repeated half sampling (RHS) criterion. Two cases are distinguish for the true model, either the candidate family of models does include the true model or does not include it. The performance of RHS criterion is compared with other criteria in a simulation study.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Codice articolo 9786202281096
Compra nuovo
EUR 49,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Some Model Selection Criteria based on Incomplete or Complete data
Editore:
Éditions Universitaires Européennes, 2018
ISBN 10: 620228109X
ISBN 13: 9786202281096
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 - This book present some extensions of model selection criteria based on incomplete or complete data. First, we have derived a corrected version of the KIC criterion, based on the Kullback's symmetric divergence for multiple and multivariate regression models and for univariate and multivariate autoregressive models. Its signal-to-noise ratios is pointed out in each case. In the presence of missing data, we derived and investigated a variant of KIC criterion. We examine the performance of the new criterion relative to other well known criteria in a large simulation study. Also, we present a variants of a Schwarz information criterion for model selection in the settings where the observed-data is incomplete. The performance of these criteria, relative to other well known criteria, is examined in a large simulation study. Finally, we study the asymptotic property and the performance of the repeated half sampling (RHS) criterion. Two cases are distinguish for the true model, either the candidate family of models does include the true model or does not include it. The performance of RHS criterion is compared with other criteria in a simulation study. Codice articolo 9786202281096
Compra nuovo
EUR 50,50
Spedizione EUR 60,90
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Some Model Selection Criteria based on Incomplete or Complete data
Editore:
Éditions universitaires européennes, 2018
ISBN 10: 620228109X
ISBN 13: 9786202281096
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Some Model Selection Criteria based on Incomplete or Complete data | Bezza Hafidi | Taschenbuch | 108 S. | Englisch | 2018 | Éditions universitaires européennes | EAN 9786202281096 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 111717390
Compra nuovo
EUR 44,00
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Foto dell'editore
Some Model Selection Criteria based on Incomplete or Complete data
Editore:
ditions universitaires europ ennes, 2018
ISBN 10: 620228109X
ISBN 13: 9786202281096
Nuovo
paperback
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA829620228109X6
Compra nuovo
EUR 169,06
Spedizione EUR 28,90
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili