ESTIMATION OF RATIO OF POPULATION VARIANCES IN ABSENCE AND PRESENCE OF NON - RESPONSE
Keywords:
Ratio of Population Variances, Study Variable, Auxiliary Variable, Random Non - Response, Jack-Knife Technique, Unbiased, Variance.Abstract
The present investigation deals with the problem of estimation of ratio of population variances under two different realistic situations of complete response and random non-response in the sampled units. Using information on an auxiliary variable, two classes of Jack-Knife estimators of ratio of population variances are proposed separately for these two situations and it is shown that the proposed classes of Jack-Knife estimators are unbiased up to the first order of approximations. Properties of the proposed classes of estimators have been studied and their respective optimality conditions are discussed. Proposed classes of estimators are empirically compared with the usual sample estimator of ratio of population variances under the similar realistic situations and their performances have been demonstrated through numerical illustration and graphical interpretation which are followed by suitable recommendations.
Downloads
References
Agrawal, M. C. and Roy, D. C. (1999). Efficient estimators of population
variance with regression-type and ratio-type predictor-inputs, Metron, LVII (3),
p. 169-178.
Ahmed, M. S., Abu-Dayyeh, W. and Hurairah, A. A. O. (2003). Some
estimators for population variance under two phase sampling, Statistics in
Transition 6 (1), p. 143–150.
Bahl, S. and Tuteja, R. K. (1991). Ratio and product type exponential
estimator, Information and Optimization Sciences. 12, p. 159-163.
Cochran, W. G. (1977). Sampling techniques. New-York. John Wiley and
Sons.
Choudhury, S. and Singh, B. K. (2012). A class of chain ratio–product type
estimators with two auxiliary variables under double sampling scheme, Journal
of the Korean Statistical Society, 41, p. 247–256.
Das, A. K. and Tripathi, T. P. (1978). Use of auxiliary information in
estimating the finite population variance, Sankhya, C, 40, p. 139–148.
Gray, H. L. and Schucany W.R. (1972). The Generalized Jack-knife Statistic,
Marcel Dekker, New York.
Gupta, S. and Shabbir, J. (2008). On improvement in estimating the population
mean in simple random sampling, Journal of Applied Statistics. 35 (5), p. 559–
Isaki, C. T. (1983). Variance estimation using auxiliary information,
Journal of American Statistical Association, 78, p. 117–123.
Jhajj, H. S., Sharma, M. K. and Grover, L. K. (2005). An efficient class of
chain estimators of population variance under sub-sampling scheme, Journal
of Japan Statistical Society, 35(2), p. 273–286.