Journal ArticleDOI
Product–Cum–Power Estimators
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This article is published in Calcutta Statistical Association Bulletin.The article was published on 1980-03-01. It has received 14 citations till now. The article focuses on the topics: Product (mathematics).read more
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On certail methods of improving ration and regression estimators
TL;DR: In this paper, the authors examined some techiques suggested in the literature for improving the ratio and regression methods of estimation and demonstrated that these techniques are not very profitable. But they did not examine the profitability of these techiques.
Journal ArticleDOI
On Estimating Finite Population Mean in Simple and Stratified Random Sampling
Javid Shabbir,Sat Gupta +1 more
TL;DR: In this paper, an exponential ratio type estimator for estimating the finite population mean in simple and stratified random sampling is proposed and the properties of the proposed estimator are obtained and comparison is made with some of the existing estimators.
Journal ArticleDOI
An improved estimator of the finite population mean in simple random sampling
TL;DR: It has been shown that the proposed exponential type estimator of the finite population mean of a study variable is always better than most of the existing estimators.
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An improved class of estimators for the population mean
TL;DR: A class of estimators for the unknown mean of a survey variable when auxiliary information is available and the bias and the mean square error of the estimators belonging to the class are obtained and the expressions for the optimum parameters minimizing the asymptotic meansquare error are given.
Journal ArticleDOI
A Family of Estimators of Finite-Population Distribution Function Using Auxiliary Information
TL;DR: In this article, the problem of estimating the finite population distribution function and quantiles with the use of auxiliary information at the estimation stage of a survey is considered, and the families of estimators of the distribution function of the study variate y using the knowledge of the distributions of the auxiliary variate x are proposed.
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An efficient family of ratio-cum-product estimators for finite population mean in sample surveys
Housila P. Singh,Anita Yadav +1 more