Serial independence forms the basis for classical economic and financial theories. The author contributed score tests for serial independence against alternative copula structures, leaving the marginals unspecified. Thus the score tests, which are not only invariant but also powerful against fixed alternatives under mis-specified marginals, even with the case of weak dependence, will be favorable in that the chance to commit Type I error is smaller comparing to the traditional tests. The test's performances were numerically examined with the effects of mis-specification on both the marginals and the copula by simulation. Finally, an application of testing serial independence in log-returns of stock indices was presented. The book is written for theoretical econometricians and statisticians who has a background of dependence theory, hypothesis testing and time series analysis.
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Drs. Zhaopeng Xing is Ph.D. candidate at the Tinbergen Institute and research fellow at CEMAC, National Bureau of Statistics of China. He received a Master's degree from CCER of Peking University in 2005. He fulfills duties of anonymous reviewer for several A-ranking journals. His research interests are Time Series Econometrics and Business cycle.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Serial independence forms the basis for classical economic and financial theories. The author contributed score tests for serial independence against alternative copula structures, leaving the marginals unspecified. Thus the score tests, which are not only invariant but also powerful against fixed alternatives under mis-specified marginals, even with the case of weak dependence, will be favorable in that the chance to commit Type I error is smaller comparing to the traditional tests. The test's performances were numerically examined with the effects of mis-specification on both the marginals and the copula by simulation. Finally, an application of testing serial independence in log-returns of stock indices was presented. The book is written for theoretical econometricians and statisticians who has a background of dependence theory, hypothesis testing and time series analysis. 100 pp. Englisch. Seller Inventory # 9783838363950
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Xing ZhaopengDrs. Zhaopeng Xing is Ph.D. candidate at the Tinbergen Institute and research fellow at CEMAC, National Bureau of Statistics of China. He received a Master s degree from CCER of Peking University in 2005. He fulfills du. Seller Inventory # 5416736
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Serial independence forms the basis for classical economic and financial theories. The author contributed score tests for serial independence against alternative copula structures, leaving the marginals unspecified. Thus the score tests, which are not only invariant but also powerful against fixed alternatives under mis-specified marginals, even with the case of weak dependence, will be favorable in that the chance to commit Type I error is smaller comparing to the traditional tests. The test''s performances were numerically examined with the effects of mis-specification on both the marginals and the copula by simulation. Finally, an application of testing serial independence in log-returns of stock indices was presented. The book is written for theoretical econometricians and statisticians who has a background of dependence theory, hypothesis testing and time series analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Seller Inventory # 9783838363950
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Serial independence forms the basis for classical economic and financial theories. The author contributed score tests for serial independence against alternative copula structures, leaving the marginals unspecified. Thus the score tests, which are not only invariant but also powerful against fixed alternatives under mis-specified marginals, even with the case of weak dependence, will be favorable in that the chance to commit Type I error is smaller comparing to the traditional tests. The test's performances were numerically examined with the effects of mis-specification on both the marginals and the copula by simulation. Finally, an application of testing serial independence in log-returns of stock indices was presented. The book is written for theoretical econometricians and statisticians who has a background of dependence theory, hypothesis testing and time series analysis. Seller Inventory # 9783838363950
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Taschenbuch. Condition: Neu. Essay on Testing Serial Independence | with the Copula Scores | Zhaopeng Xing | Taschenbuch | 100 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838363950 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 107421978