The present book deals with various Small Area estimation techniques for estimating statistics of small geographical area. Application of discriminant function and principal component analysis has been demonstrated to scale down statistics from large level to small level through a linear model established at larger level.Small area level model has also been introduced to improve upon the estimates obtained from the application of discriminant function and principal component analysis.Various methods of cross validation of models fitted with the data have also been described to validate the models used to scale down estimates. Empirical investigation of various methodologies has been carried out with live data particularly on wheat production along with its related covariates for Sultanpur district of Uttar Pradesh, India. The book is quite useful for the policy makers to formulate agricultural development programmes at micro level, i.e. block/ panchyat level in order to enhance the agriculture productivity of the smaller area. The book will also work as reference to the researchers in small area estimation methods.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The present book deals with various Small Area estimation techniques for estimating statistics of small geographical area. Application of discriminant function and principal component analysis has been demonstrated to scale down statistics from large level to small level through a linear model established at larger level.Small area level model has also been introduced to improve upon the estimates obtained from the application of discriminant function and principal component analysis.Various methods of cross validation of models fitted with the data have also been described to validate the models used to scale down estimates. Empirical investigation of various methodologies has been carried out with live data particularly on wheat production along with its related covariates for Sultanpur district of Uttar Pradesh, India. The book is quite useful for the policy makers to formulate agricultural development programmes at micro level, i.e. block/ panchyat level in order to enhance the agriculture productivity of the smaller area. The book will also work as reference to the researchers in small area estimation methods.
Dr. Manoj Kumar Sharma (left one)is currently working in G.I.D.S., Lucknow. Dr. B.V.S. Sisodia (right one) is Professor & Head, Department of Agricultural Statistics since 1993 in N. D. University of Agriculture & Technology, Faizabad, India. Dr. Sisoadia has received several awards in Statistics and has published more than 70 research papers.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma Manoj KumarDr. Manoj Kumar Sharma (left one)is currently working in G.I.D.S., Lucknow. Dr. B.V.S. Sisodia (right one) is Professor & Head, Department of Agricultural Statistics since 1993 in N. D. University of Agriculture & T. N° de réf. du vendeur 159141322
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present book deals with various Small Area estimation techniques for estimating statistics of small geographical area. Application of discriminant function and principal component analysis has been demonstrated to scale down statistics from large level to small level through a linear model established at larger level.Small area level model has also been introduced to improve upon the estimates obtained from the application of discriminant function and principal component analysis.Various methods of cross validation of models fitted with the data have also been described to validate the models used to scale down estimates. Empirical investigation of various methodologies has been carried out with live data particularly on wheat production along with its related covariates for Sultanpur district of Uttar Pradesh, India. The book is quite useful for the policy makers to formulate agricultural development programmes at micro level, i.e. block/ panchyat level in order to enhance the agriculture productivity of the smaller area. The book will also work as reference to the researchers in small area estimation methods. N° de réf. du vendeur 9783659463402
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present book deals with various Small Area estimation techniques for estimating statistics of small geographical area. Application of discriminant function and principal component analysis has been demonstrated to scale down statistics from large level to small level through a linear model established at larger level.Small area level model has also been introduced to improve upon the estimates obtained from the application of discriminant function and principal component analysis.Various methods of cross validation of models fitted with the data have also been described to validate the models used to scale down estimates. Empirical investigation of various methodologies has been carried out with live data particularly on wheat production along with its related covariates for Sultanpur district of Uttar Pradesh, India. The book is quite useful for the policy makers to formulate agricultural development programmes at micro level, i.e. block/ panchyat level in order to enhance the agriculture productivity of the smaller area. The book will also work as reference to the researchers in small area estimation methods. 156 pp. Englisch. N° de réf. du vendeur 9783659463402
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Taschenbuch. Etat : Neu. Neuware -The present book deals with various Small Area estimation techniques for estimating statistics of small geographical area. Application of discriminant function and principal component analysis has been demonstrated to scale down statistics from large level to small level through a linear model established at larger level.Small area level model has also been introduced to improve upon the estimates obtained from the application of discriminant function and principal component analysis.Various methods of cross validation of models fitted with the data have also been described to validate the models used to scale down estimates. Empirical investigation of various methodologies has been carried out with live data particularly on wheat production along with its related covariates for Sultanpur district of Uttar Pradesh, India. The book is quite useful for the policy makers to formulate agricultural development programmes at micro level, i.e. block/ panchyat level in order to enhance the agriculture productivity of the smaller area. The book will also work as reference to the researchers in small area estimation methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 156 pp. Englisch. N° de réf. du vendeur 9783659463402
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Paperback. Etat : Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock. N° de réf. du vendeur __365946340X
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