GENERALISED EXPONENTIAL RATIO-TYPE ESTIMATOR FOR FINITE POPULATION VARIANCE UNDER RANDOM NON-RESPONSE
- Department of Mathematics and Statistics, COBS, CCS HAU, Hisar-125004, Haryana.
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In this research paper an effort has been made for the estimation of population variance of the study variable by using information on certain known parameters of the auxiliary variable under non-response for scheme I and II given by Singh and Joarder (1998). Generalized exponential ratio-type estimator has been proposed and their properties have been studied under non response techniques and conditions were found when the family of proposed estimators identified by using different choices for (P, Q) performed better than the usual unbiased estimator. It was also observed that for different values of α ∈ (0.0, 1.0), the estimators and were found to be best under numerical illustration.
[Alisha Mittal and Manoj Kumar (2021); GENERALISED EXPONENTIAL RATIO-TYPE ESTIMATOR FOR FINITE POPULATION VARIANCE UNDER RANDOM NON-RESPONSE Int. J. of Adv. Res. 9 (Jan). 589-596] (ISSN 2320-5407). www.journalijar.com
Department of Mathematics and Statistics, COBS, CCS HAU, Hisar-125004, Haryana
India
