Surveys dealing with multiple observations spread over time are defined as longitudinal surveys. When one is concerned about estimates of population sub-groups in longitudinal surveys, particularly the pattern of changes at individual level as well as aggregate level over time, the techniques of small areas estimation (SAE) can possibly be employed to achieve the above goal. In this book, it has been attempted to propose methodology for estimation of population parameters in longitudinal surveys with special reference to small area and study the temporal patterns of changes in population parameters. Direct, synthetic and composite estimators have been proposed to estimate the population mean of small area for specific points of time. It also provides detail of mean square errors (MSE) of the proposed estimator. The relative efficiencies of the proposed estimators are illustrated with an empirical data collected through surveys.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Surveys dealing with multiple observations spread over time are defined as longitudinal surveys. When one is concerned about estimates of population sub-groups in longitudinal surveys, particularly the pattern of changes at individual level as well as aggregate level over time, the techniques of small areas estimation (SAE) can possibly be employed to achieve the above goal. In this book, it has been attempted to propose methodology for estimation of population parameters in longitudinal surveys with special reference to small area and study the temporal patterns of changes in population parameters. Direct, synthetic and composite estimators have been proposed to estimate the population mean of small area for specific points of time. It also provides detail of mean square errors (MSE) of the proposed estimator. The relative efficiencies of the proposed estimators are illustrated with an empirical data collected through surveys. 96 pp. Englisch. N° de réf. du vendeur 9783848480326
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh BhimBHIM SINGH(left one): Assistant Professor at College of Horticulture and Forestry, M.P.U.A.T., Jhalawar. B.V.S. SISODIA (right one): Professor & Head at N.D.U.A.T., Faizabad. Both authors are Ph.D. and engaged in teaching . N° de réf. du vendeur 5525839
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Surveys dealing with multiple observations spread over time are defined as longitudinal surveys. When one is concerned about estimates of population sub-groups in longitudinal surveys, particularly the pattern of changes at individual level as well as aggregate level over time, the techniques of small areas estimation (SAE) can possibly be employed to achieve the above goal. In this book, it has been attempted to propose methodology for estimation of population parameters in longitudinal surveys with special reference to small area and study the temporal patterns of changes in population parameters. Direct, synthetic and composite estimators have been proposed to estimate the population mean of small area for specific points of time. It also provides detail of mean square errors (MSE) of the proposed estimator. The relative efficiencies of the proposed estimators are illustrated with an empirical data collected through surveys.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. N° de réf. du vendeur 9783848480326
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Surveys dealing with multiple observations spread over time are defined as longitudinal surveys. When one is concerned about estimates of population sub-groups in longitudinal surveys, particularly the pattern of changes at individual level as well as aggregate level over time, the techniques of small areas estimation (SAE) can possibly be employed to achieve the above goal. In this book, it has been attempted to propose methodology for estimation of population parameters in longitudinal surveys with special reference to small area and study the temporal patterns of changes in population parameters. Direct, synthetic and composite estimators have been proposed to estimate the population mean of small area for specific points of time. It also provides detail of mean square errors (MSE) of the proposed estimator. The relative efficiencies of the proposed estimators are illustrated with an empirical data collected through surveys. N° de réf. du vendeur 9783848480326
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Taschenbuch. Etat : Neu. Small Area Estimation in Longitudinal Surveys | An Application | Bhim Singh (u. a.) | Taschenbuch | 96 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848480326 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106497295
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