Auxiliary Information and a priori Values in Construction of Improved Estimators

This volume is a collection of six papers on the use of auxiliary information and 'a priori' values in construction of improved estimators. The work included here will be of immense application for researchers and students who emply auxiliary information in any form.

[1]  Donald T. Searls,et al.  A Note on an Estimator for the Variance That Utilizes the Kurtosis , 1990 .

[2]  A. Winsor.  Sampling techniques. , 2000, Nursing times.

[3]  M. R. Espejo,et al.  On linear regression and ratio–product estimation of a finite population mean , 2003 .

[4]  Shashi Bahl,et al.  Difference-cum-ratio type estimators , 1999 .

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[8]  Cem Kadilar,et al.  Ratio estimators for the population variance in simple and stratified random sampling , 2006, Appl. Math. Comput..

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[10]  Florentin Smarandache,et al.  A General Family of Estimators for Estimating Population Mean Using Known Value of Some Population Parameter(s) , 2007, math/0701243.

[11]  Housila P. Singh,et al.  Use of Transformed Auxiliary Variable in Estimating the Finite Population Mean , 1999 .

[12]  L. N. Upadhyaya,et al.  Ratio-cum-product type exponential estimator , 2009 .

[13]  M. A. Hidiroglou,et al.  Use of Auxiliary Information for Two-phase sampling , 2002 .

[14]  C. T. Isaki,et al.  Variance Estimation Using Auxiliary Information , 1983 .

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[16]  A. R. Sen.  Estimation of the population mean when the coefficient of variation is known , 1978 .

[17]  On the Estimation of the Population Mean with Known Coefficient of Variation , 1984 .

[18]  Donald T. Searls,et al.  The Utilization of a Known Coefficient of Variation in the Estimation Procedure , 1964 .

[19]  Cem Kadilar,et al.  Improvement in estimating the population mean in simple random sampling , 2006, Appl. Math. Lett..