This book has brought out the current estimation methods, stressing the basic inferential methods and discussing the various related problems arising in applying the methods to SURE models. Firstly, the SURE model with first-order scalar autoregressive errors ; secondly , an Estimation procedure has been developed for SURE model with first-order scalar autoregressive errors ; thirdly, the SURE model with first-order vector autoregressive errors has been specified and a new inferential techniques has been developed for its estimation ; fourthly, an adaptable Ridge Regression estimation technique has been proposed for the SURE model under the problem of multicollinearity; finally , two new test procedures have been developed for testing nested and non-nested general linear hypotheses about the parameters to the SURE modeLS
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Working as Senior Lecturer in Statistics in JAGAN'S DEGREE & PG College, Nellor,A.P.INDIA. He has 12 years of teaching experience.He has published 5 papers in National/International Journals and 9 Research Papers were presented at National/International Seminars / Conferences.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book has brought out the current estimation methods, stressing the basic inferential methods and discussing the various related problems arising in applying the methods to SURE models. Firstly, the SURE model with first-order scalar autoregressive errors ; secondly , an Estimation procedure has been developed for SURE model with first-order scalar autoregressive errors ; thirdly, the SURE model with first-order vector autoregressive errors has been specified and a new inferential techniques has been developed for its estimation ; fourthly, an adaptable Ridge Regression estimation technique has been proposed for the SURE model under the problem of multicollinearity; finally , two new test procedures have been developed for testing nested and non-nested general linear hypotheses about the parameters to the SURE modeLS 316 pp. Englisch. Bestandsnummer des Verkäufers 9783659364945
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nagabhushana Rao R.V.S.S.Working as Senior Lecturer in Statistics in JAGAN S DEGREE & PG College, Nellor,A.P.INDIA. He has 12 years of teaching experience.He has published 5 papers in National/International Journals and 9 Research P. Bestandsnummer des Verkäufers 5151330
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Taschenbuch. Zustand: Neu. Inference in Seemingly Unrelated Regression Equations Models | Feasible Estimation | R. V. S. S. Nagabhushana Rao (u. a.) | Taschenbuch | 316 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659364945 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106004346
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book has brought out the current estimation methods, stressing the basic inferential methods and discussing the various related problems arising in applying the methods to SURE models. Firstly, the SURE model with first-order scalar autoregressive errors ; secondly , an Estimation procedure has been developed for SURE model with first-order scalar autoregressive errors ; thirdly, the SURE model with first-order vector autoregressive errors has been specified and a new inferential techniques has been developed for its estimation ; fourthly, an adaptable Ridge Regression estimation technique has been proposed for the SURE model under the problem of multicollinearity; finally , two new test procedures have been developed for testing nested and non-nested general linear hypotheses about the parameters to the SURE modeLSBooks on Demand GmbH, Überseering 33, 22297 Hamburg 316 pp. Englisch. Bestandsnummer des Verkäufers 9783659364945
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book has brought out the current estimation methods, stressing the basic inferential methods and discussing the various related problems arising in applying the methods to SURE models. Firstly, the SURE model with first-order scalar autoregressive errors ; secondly , an Estimation procedure has been developed for SURE model with first-order scalar autoregressive errors ; thirdly, the SURE model with first-order vector autoregressive errors has been specified and a new inferential techniques has been developed for its estimation ; fourthly, an adaptable Ridge Regression estimation technique has been proposed for the SURE model under the problem of multicollinearity; finally , two new test procedures have been developed for testing nested and non-nested general linear hypotheses about the parameters to the SURE modeLS. Bestandsnummer des Verkäufers 9783659364945
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