Journal ArticleDOI
A General Procedure for Estimating Population Mean in Successive Sampling
TLDR
In this paper, the problem of estimating population mean on the current (second) occasion using auxiliary information in successive sampling over two occasions is considered, and a class of estimators is defined with its properties.Abstract:
This article considers the problem of estimating population mean on the current (second) occasion using auxiliary information in successive sampling over two occasions. A class of estimators is defined with its properties. It is shown that the estimator envisaged by Singh (2005) is a particular member of the proposed class of estimators. The superiority of the suggested class of estimators is discussed with sample mean estimator when there is no matching, the best combined estimator given in Cochran (1977, p. 346), Sukhatme et al. (1984, p. 249), Singh's (2005) estimator, and Singh and Vishwakarma's (2007) class of estimators. Optimum replacement policy has been discussed. Numerical illustration is also given.read more
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Estimation of population mean on current occasion in two-occasion successive sampling
TL;DR: In this article, the problem of estimating a finite population mean on the current occasion based on the samples selected over two occasions has been considered, where Chaintype Ratio and regression estimators have been considered to estimate the population mean at current occasion in two-occasion successive sampling.
On the estimation of population mean in successive sampling
Housila P. Singh,Surya K. Pal +1 more
TL;DR: In this paper, the authors explored effective rotation patterns in estimation of current (second) population mean in two occasion successive sampling, using the known population coefficient of variation (C z ) along with known population mean ( Z ) of the auxiliary variable z on both the occasions and the information on the study variable from the previous occasion.
Journal ArticleDOI
An efficient effective rotation pattern in successive sampling over two occasions
Housila P. Singh,Surya K. Pal +1 more
TL;DR: In this paper, a class of estimators with its properties is proposed based on all the readily available information from first and second occasions, and the superiority of the suggested estimators is discussed with the sample mean estimator when there is no matching, the best combined estimator given in Cochran (1977, p.346) and Singh and Homa (2013) estimator.
Journal ArticleDOI
Effective Estimation Strategy of Population Variance in Two-Phase Successive Sampling Under Random Non-response
Garib Nath Singh,Mohd Khalid +1 more
TL;DR: In this article, an attempt has been made to present the problem of estimation of current population variance in the presence of random non-response in two-occasion successive sampling under two-phase setup.
References
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Book
Sampling theory of surveys, with applications
TL;DR: The delphi method as a research tool an example design as mentioned in this paper is used for mold testing is it beneficial or snake oil, mould testing is beneficial, snake oil is snake oil.
Journal ArticleDOI
Rotation designs for sampling on repeated occasions
J. N. K. Rao,Jack E. Graham +1 more
TL;DR: In this paper, a unified finite population theory is developed for composite estimators of both the current level and change in level between consecutive occasions when a rotation sample design is employed, and explicit variance functions are given under the assumption that exponential and arithmetic correlation patterns hold over time for the characteristics of interest.
Journal ArticleDOI
A Generalized Estimator for the Mean of a Finite Population Using Multi-Auxiliary Information
TL;DR: In this paper, a class of ratio type estimators for estimating the mean of a finite population using information on p auxiliary characters x1, ···, xp1 was considered and asymptotic expressions for the bias and the variance of the estimator were obtained.
Journal ArticleDOI
Sample rotation method with auxiliary variable
Shiyong Feng,Guohua Zou +1 more
TL;DR: In this paper, the auxiliary information is often available for all units of a finite population and the estimators of the population means on both occasions and the formulae of their MSE (mean squared error) are given.