Randomized Response: Estimating Mean Square Errors of Linear Estimators and Finding Optimal Unbiased Strategies.
A. Chaudhuri ([unknown])
Metrika
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Displaying similar documents to “A General Class of Estimators for Estimating Population Mean Using Auxiliary Information.”
Randomized Response: Estimating Mean Square Errors of Linear Estimators and Finding Optimal Unbiased Strategies.
Almost unbiased ratio and product-type estimators in systematic sampling.
R. Singh, H. P. Singh (1998)
Qüestiió
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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...
An alternative class of estimators in double sampling.
Senapati, S.C., Sahoo, L.N. (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Estimating unemployment in very small areas.
M.D. Ugarte, T. Goicoa, A.F. Militino, M. Sagaseta-López (2009)
SORT
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Jack-Knifing the Ratio and the Product Estimators in Double Sampling.
S. Sengupta (1981)
Metrika
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On Efficiency of the Ratio Estimator.
A. Chaudhuri, A.K. Adhikary (1989)
Metrika
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A class of PPS estimators variance using auxihary information.
HousiLA P. SINGH AND M. RUIZ ESPEJO (1999)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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On two methods of unbiased estimation in two-phase sampling using two auxiliary variables.
Sahoo, L.N., Senapati, S.C., Dalabehera, M. (2004)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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A Note on Necessary Best Estimator of Order Two .
S.G. Prabhu-Ajgaonkar (1984)
Metrika
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On the performance of small-area estimators: fixed vs. random area parameters.
Alex Costa, Albert Satorra, Eva Ventura (2009)
SORT
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Comparison of six almost unbiased ratio estimators.
M. Dalabehera, L. N. Sahoo (1994)
Qüestiió
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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.