Randomized Response: Estimating Mean Square Errors of Linear Estimators and Finding Optimal Unbiased Strategies.
A. Chaudhuri ([unknown])
Metrika
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A. Chaudhuri ([unknown])
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R. Singh, H. P. Singh (1998)
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In this paper we have suggested almost unbiased ratio-type and product-type estimators for estimating the population mean Y of the study variate y using information on an auxiliary variate x in systematic sampling. The variance expressions of the suggested estimators have been obtained and compared with usual unbiased estimator y*, Swain's (1964) ratio estimator y* and Shukla's product estimator y*. It has been shown that the proposed estimators are more efficient than usual unbiased...
Senapati, S.C., Sahoo, L.N. (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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M.D. Ugarte, T. Goicoa, A.F. Militino, M. Sagaseta-López (2009)
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S. Sengupta (1981)
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A. Chaudhuri, A.K. Adhikary (1989)
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HousiLA P. SINGH AND M. RUIZ ESPEJO (1999)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Sahoo, L.N., Senapati, S.C., Dalabehera, M. (2004)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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S.G. Prabhu-Ajgaonkar (1984)
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Alex Costa, Albert Satorra, Eva Ventura (2009)
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M. Dalabehera, L. N. Sahoo (1994)
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In this paper, we compare six almost unbiased ratio estimators with respect to bias and efficiency for (i) finite populations, and (ii) infinite populations in which the joint distribution of the characters under study is bivariate normal.