The problem of optimum allocation in multivariate stratified sampling
نویسندگان
چکیده
منابع مشابه
An Integer Programming Formulation Applied to Optimum Allocation in Multivariate Stratified Sampling
The problem of optimal allocation of samples in surveys using a stratified sampling plan was first discussed by Neyman in 1934. Since then, many researchers have studied the problem of the sample allocation in multivariate surveys and several methods have been proposed. Basically, these methods are divided into two class: The first involves forming a weighted average of the stratum variances an...
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In this paper, for the Stratified Median Ranked Set Sampling (SMRSS), proposed by Ibrahim et al. (2010), we examine the proportional and optimum sample allocations that are two well-known methods for sample allocation in stratified sampling. We show that the variances of the mean estimators of a symmetric population in SMRSS using optimum and proportional allocations to strata are smaller than ...
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7.1 Introduction In mail surveys, it is observed that the data may not be obtained in the first attempt, sometimes due to absenteeism and sometimes due to the refusal of the subject. This problem was first considered by Hansen and Hurwitz (1946), in which the population was divided into the groups of respondents and non respondents. They determine the sample size to be attempted on the first oc...
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In this paper, we propose a stratified sampling algorithm in which the random drawings made in the strata to compute the expectation of interest are also used to adaptively modify the proportion of further drawings in each stratum. These proportions converge to the optimal allocation in terms of variance reduction. And our stratified estimator is asymptotically normal with asymptotic variance e...
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ژورنال
عنوان ژورنال: The South Pacific Journal of Natural and Applied Sciences
سال: 2012
ISSN: 1838-837X
DOI: 10.1071/sp12007