Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3838346440 ISBN 13: 9783838346441
Librería: preigu, Osnabrück, Alemania
EUR 43,30
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Two Phase Sampling: Using Multi-Auxiliary Attributes | Survey Sampling | Inam Ul-Haq (u. a.) | Taschenbuch | 108 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783838346441 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Feb 2010, 2010
ISBN 10: 3838346440 ISBN 13: 9783838346441
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Use of auxiliary information has been extensively used in survey sampling to increase the precision of the estimates. Ratio and Regression methods are most popular methods that utilizes information of auxiliary attributes. The auxiliary information has also been used in two-phase sampling for estimation of population characteristics. In this book use of auxiliary attributes have been proposed in two-phase sampling. Several methods have been proposed by using information on auxiliary attributes. The generalized ratio and regression families have been suggested. We have also proposed the shrinkage estimators by using information of multiple auxiliary attributes. 108 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838346440 ISBN 13: 9783838346441
Librería: moluna, Greven, Alemania
EUR 41,05
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: UL-HAQ Dr.INAMDr. Hanif is a Professor of Statistics at LUMS, Lahore. He is author of more than 150 research papers and 5 books. Dr. Inam-ul-Haq has completed his PhD under the supervision of Dr. Muhammad HanifAutor/Autorin.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Feb 2010, 2010
ISBN 10: 3838346440 ISBN 13: 9783838346441
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,00
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Use of auxiliary information has been extensively used in survey sampling to increase the precision of the estimates. Ratio and Regression methods are most popular methods that utilizes information of auxiliary attributes. The auxiliary information has also been used in two-phase sampling for estimation of population characteristics. In this book use of auxiliary attributes have been proposed in two-phase sampling. Several methods have been proposed by using information on auxiliary attributes. The generalized ratio and regression families have been suggested. We have also proposed the shrinkage estimators by using information of multiple auxiliary attributes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838346440 ISBN 13: 9783838346441
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,59
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Use of auxiliary information has been extensively used in survey sampling to increase the precision of the estimates. Ratio and Regression methods are most popular methods that utilizes information of auxiliary attributes. The auxiliary information has also been used in two-phase sampling for estimation of population characteristics. In this book use of auxiliary attributes have been proposed in two-phase sampling. Several methods have been proposed by using information on auxiliary attributes. The generalized ratio and regression families have been suggested. We have also proposed the shrinkage estimators by using information of multiple auxiliary attributes.