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Revaluation Books, Exeter, Vereinigtes Königreich
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92 pages. 8.66x5.91x0.21 inches. In Stock. Bestandsnummer des Verkäufers 3639183657
This research is concerned with the analysis of a set of 1000 primary data obtained from Cell Phone user on switching behavior.The main objectives of our study were to fit the markovian model and Logistic regression model.Our response variable was switching behavior and we have 16 independent variables. The test result shows that the markovian and logistic regression models were well fitted to the data. With the help of transition probability matrix we went through the predictions of what would be the cell phone connection among all operators after one, two, or more times switching.By the estimated limiting behavior of the transition probabilities of the four cell phone companies between the times we interpreted that at the coming fifth times for past and present connections and coming seventh times for present and future connections, the cell phone subscriber¿s distribution will be stationary i.e., no changes will take place afterward. This phenomenon was also examined with the help of the test for the stationarity.And at 5% level of significance the logistic regression model is well fitted with the ten significant covariates.
Über die Autorin bzw. den Autor: MS in Applied Statistics from University of Dhaka,Bangladesh. Black Belt in SIX SIGMA Business Process Improvement Methodology. Head of Process Performance Management. Business Process Management Department. GrameenPhone Limited,Bangladesh.
Titel: Cell Phone Connection Switching Behavior: An...
Verlag: Vdm Verlag Dr. Müller
Erscheinungsdatum: 2009
Einband: Paperback
Zustand: Brand New
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Haque A. F. M. ErshadulMS in Applied Statistics from University of Dhaka,Bangladesh. Black Belt in SIX SIGMA Business Process Improvement Methodology. Head of Process Performance Management. Business Process Management Department. Gr. Bestandsnummer des Verkäufers 4964987
Anzahl: Mehr als 20 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Cell Phone Connection Switching Behavior | An application of Markovian Model and Logistic Regression Model | A. F. M. E. Haque | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639183658 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101517916
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research is concerned with the analysis of a set of 1000 primary data obtained from Cell Phone user on switching behavior.The main objectives of our study were to fit the markovian model and Logistic regression model.Our response variable was switching behavior and we have 16 independent variables. The test result shows that the markovian and logistic regression models were well fitted to the data. With the help of transition probability matrix we went through the predictions of what would be the cell phone connection among all operators after one, two, or more times switching.By the estimated limiting behavior of the transition probabilities of the four cell phone companies between the times we interpreted that at the coming fifth times for past and present connections and coming seventh times for present and future connections, the cell phone subscriber s distribution will be stationary i.e., no changes will take place afterward. This phenomenon was also examined with the help of the test for the stationarity.And at 5% level of significance the logistic regression model is well fitted with the ten significant covariates. Bestandsnummer des Verkäufers 9783639183658
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock. Bestandsnummer des Verkäufers __3639183657
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