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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
A GENERALIZED CLASS OF DIFFERENCE AND REGRESSION TYPE ESTIMATORS IN DOUBLE SAMPLING FOR THE ESTIMATION OF FINITE POPULATION VARIANCE
Authors
Abhijeet Vishwakarma, S. A. H. Rizvi
Keywords
Difference and Regression type Estimators, Auxiliary information, Bias and Mean Square Error (MSE), Optimum and Estimated Optimum Values, Efficiency.
Abstract
A generalized estimator representing a class of difference and regression type estimators in double sampling for the estimation of finite population variance is proposed, its bias and mean square error are found, and its comparison with the usual estimator of finite population variance is made to establish the existence of some superior estimators in the proposed class in the sense of having lesser mean square error. A subclass of estimators depending upon optimum values for which the subclass attains the minimum mean square error is investigated and further a subclass of estimators depending upon estimated optimum values, attaining the same minimum mean square error of the estimator of optimum value is also searched. An empirical study too is included in support of the theoretical findings.
IJCRT's Publication Details
Unique Identification Number - IJCRT2209163
Paper ID - 225196
Page Number(s) - b242-b248
Pubished in - Volume 10 | Issue 9 | September 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Abhijeet Vishwakarma, S. A. H. Rizvi, "A GENERALIZED CLASS OF DIFFERENCE AND REGRESSION TYPE ESTIMATORS IN DOUBLE SAMPLING FOR THE ESTIMATION OF FINITE POPULATION VARIANCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 9, pp.b242-b248, September 2022, Available at :http://www.ijcrt.org/papers/IJCRT2209163.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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