Advanced SearchSearch Tips
Families of Estimators of Finite Population Variance using a Random Non-Response in Survey Sampling
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Families of Estimators of Finite Population Variance using a Random Non-Response in Survey Sampling
Singh, Housila P.; Tailor, Rajesh; Kim, Jong-Min; Singh, Sarjinder;
  PDF(new window)
In this paper, a family of estimators for the finite population variance investigated by Srivastava and Jhajj (1980) is studied under two different situations of random non-response considered by Tracy and Osahan (1994). Asymptotic expressions for the biases and mean squared errors of members of the proposed family are obtained; in addition, an asymptotic optimum estimator(AOE) is also identified. Estimators suggested by Singh and Joarder (1998) are shown to be members of the proposed family. A correction to the Singh and Joarder (1998) results is also presented.
Finite population variance;study and auxiliary variables;bias;mean squared error;random non-response;
 Cited by
Effectual Variance Estimation Strategy in Two Occasions Successive Sampling in Presence of Random Non-Response, Communications in Statistics - Theory and Methods, 2016, 00  crossref(new windwow)
Isaki, C. T. (1983). Variance estimation using auxiliary information, Journal of the American Statistical Association, 7, 117-123.

Singh, S. (2003). Advanced Sampling Theory with Applications: How Michael Selected Amy, Kluwer Academic Publishers, The Netherlands.

Singh, S. and Joarder, A. H. (1998). Estimation of finite population variance using random non-response in survey sampling, Metrika, 98, 241-249.

Singh, S., Joarder, A. H. and Tracy, D. S. (2000). Regression type estimators for random non-response in survey sampling, Statistica, LX, 1, 39-44.

Srivastava, S. K. and Jhajj, H. S. (1980). A class of estimators using auxiliary information for estimating finite population variance, Sankhy, C, 42, 1-2, 87-96.

Tracy, D. S. and Osahan, S. S. (1994). Random non-response on study variable versus on study as well as auxiliary variables, Statistica, 54, 163-168.