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Synopsis
It is known that in many of the large scale surveys,it is inevitable to adopt stratification for the purpose of preparing a frame from which the sample can be extracted. Cochran (1977) suggested a regression estimate in stratified sampling which he called a combined regression estimate. In the present study, situations will be considered where partial information about the mean of the auxiliary variable is available. In order to utilize the partial information, double sampling is used and a preliminary test is done to construct the combined regression preliminary test estimator. The bias, mean square error and the relative efficiency are obtained for the suggested estimator. Apart from analytical results, these are also obtained by numerical techniques. The comparative study shows the the bias and the mean square error function obtained by numerical methods depict similar pattern with that obtained by analytical methods. In order to judge the performance of the suggested estimator, empirical work is also carried out with the help of both real as well as simulated data. Recommendation of the levels of the preliminary test and optimum allocation of sample sizes are given.
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About the Author
M.Sc, PhD (NEHU), MPS (IIPS, Mumbai). Teaching Experience: M.Tech, B.Tech, (NEHU). Area of Specialisation: Sampling Techniques, Demography and Random Process. Currently he is an Assistant Professor in Statistics.
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Preliminary Test Estimators In Double Sampling
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ISBN 10: 3659369748
ISBN 13: 9783659369742
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -It is known that in many of the large scale surveys,it is inevitable to adopt stratification for the purpose of preparing a frame from which the sample can be extracted. Cochran (1977) suggested a regression estimate in stratified sampling which he called a combined regression estimate. In the present study, situations will be considered where partial information about the mean of the auxiliary variable is available. In order to utilize the partial information, double sampling is used and a preliminary test is done to construct the combined regression preliminary test estimator. The bias, mean square error and the relative efficiency are obtained for the suggested estimator. Apart from analytical results, these are also obtained by numerical techniques. The comparative study shows the the bias and the mean square error function obtained by numerical methods depict similar pattern with that obtained by analytical methods. In order to judge the performance of the suggested estimator, empirical work is also carried out with the help of both real as well as simulated data. Recommendation of the levels of the preliminary test and optimum allocation of sample sizes are given. 176 pp. Englisch. Seller Inventory # 9783659369742
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Preliminary Test Estimators In Double Sampling
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khongji PhrangstoneM.Sc, PhD (NEHU), MPS (IIPS, Mumbai). Teaching Experience: M.Tech, B.Tech, (NEHU). Area of Specialisation: Sampling Techniques, Demography and Random Process. Currently he is an Assistant Professor in Statistics. Seller Inventory # 5151667
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Preliminary Test Estimators In Double Sampling
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Taschenbuch. Condition: Neu. Preliminary Test Estimators In Double Sampling | Phrangstone Khongji (u. a.) | Taschenbuch | 176 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659369742 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 106009900
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Preliminary Test Estimators In Double Sampling
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -It is known that in many of the large scale surveys,it is inevitable to adopt stratification for the purpose of preparing a frame from which the sample can be extracted. Cochran (1977) suggested a regression estimate in stratified sampling which he called a combined regression estimate. In the present study, situations will be considered where partial information about the mean of the auxiliary variable is available. In order to utilize the partial information, double sampling is used and a preliminary test is done to construct the combined regression preliminary test estimator. The bias, mean square error and the relative efficiency are obtained for the suggested estimator. Apart from analytical results, these are also obtained by numerical techniques. The comparative study shows the the bias and the mean square error function obtained by numerical methods depict similar pattern with that obtained by analytical methods. In order to judge the performance of the suggested estimator, empirical work is also carried out with the help of both real as well as simulated data. Recommendation of the levels of the preliminary test and optimum allocation of sample sizes are given.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Seller Inventory # 9783659369742
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Preliminary Test Estimators In Double Sampling
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ISBN 10: 3659369748
ISBN 13: 9783659369742
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is known that in many of the large scale surveys,it is inevitable to adopt stratification for the purpose of preparing a frame from which the sample can be extracted. Cochran (1977) suggested a regression estimate in stratified sampling which he called a combined regression estimate. In the present study, situations will be considered where partial information about the mean of the auxiliary variable is available. In order to utilize the partial information, double sampling is used and a preliminary test is done to construct the combined regression preliminary test estimator. The bias, mean square error and the relative efficiency are obtained for the suggested estimator. Apart from analytical results, these are also obtained by numerical techniques. The comparative study shows the the bias and the mean square error function obtained by numerical methods depict similar pattern with that obtained by analytical methods. In order to judge the performance of the suggested estimator, empirical work is also carried out with the help of both real as well as simulated data. Recommendation of the levels of the preliminary test and optimum allocation of sample sizes are given. Seller Inventory # 9783659369742
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Preliminary Test Estimators In Double Sampling
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