On ratio and product methods with certain known population parameters of auxiliary variable in sample surveys
This paper proposes two ratio and product-type estimators using transformation based on known minimum and maximum values of auxiliary variable. The biases and mean squared errors of the suggested estimators are obtained under large sample approximation. Conditions are obtained under which the sugges...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2010 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/11243 |
| Acceso en línea: | https://hdl.handle.net/2099/11243 |
| Access Level: | acceso abierto |
| Palabra clave: | Information theory Coding theory Study variate Mean squared error Auxiliary variate bias Simple random sampling without replacement Informació, Teoria de la Codificació, Teoria de la Classificació AMS::94 Information And Communication, Circuits::94A Communication, information Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| Sumario: | This paper proposes two ratio and product-type estimators using transformation based on known minimum and maximum values of auxiliary variable. The biases and mean squared errors of the suggested estimators are obtained under large sample approximation. Conditions are obtained under which the suggested estimators are superior to the conventional unbiased estimator, usual ratio and product estimators of population mean. The superiority of the proposed estimators are also established through some natural population data sets |
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