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Model Assisted Statistics and Applications, 2008
This paper deals with the problem of estimation of finite population total under nested stratified sampling plan. Allocation of sample sizes to different primary and secondary strata are obtained for fixed cost and fixed precision. The proposed plan under different types of allocation is compared with usual stratification.
Baidya Nath Mandal +3 more
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This paper deals with the problem of estimation of finite population total under nested stratified sampling plan. Allocation of sample sizes to different primary and secondary strata are obtained for fixed cost and fixed precision. The proposed plan under different types of allocation is compared with usual stratification.
Baidya Nath Mandal +3 more
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2019
AbstractIn stratified sampling, the N population units are grouped into L strata, independent samples are selected from within each stratum, and unbiased estimation is achieved as a weighted average of stratum-specific estimates. Strata may be natural—pool, riffle, and run habitat unit types in a small stream—or strata may be constructed to ensure that
Ketchakmadze, Ivane, Durglishvili, Nino
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AbstractIn stratified sampling, the N population units are grouped into L strata, independent samples are selected from within each stratum, and unbiased estimation is achieved as a weighted average of stratum-specific estimates. Strata may be natural—pool, riffle, and run habitat unit types in a small stream—or strata may be constructed to ensure that
Ketchakmadze, Ivane, Durglishvili, Nino
+4 more sources
Stratified and Post-Stratified Sampling
2003Stratified and post-stratified sampling schemes are useful survey techniques commonly used by government agencies, private consultants, and applied statisticians. Let us differentiate between stratified and post-stratified sampling.
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Stratified Sampling of Convex Quadrilaterals
Journal of Graphics Tools, 2007We derive a closed-form expression for a smooth uniform bijection from a unit square onto an arbitrary convex planar quadrilateral; that is, a smooth parameterization of the quadrilateral under which the image of equal areas remain of equal area. The properties of the mapping make it well-suited to stratified Monte Carlo sampling and therefore useful ...
James Arvo, Kevin Novins
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On stratified randomized response sampling
Model Assisted Statistics and Applications, 2005In this paper, we propose a new quantitative randomized response model based on Mangat and Singh [7] two-stage randomized response model. We derive the estimator of the sensitive variable mean, and show that our method is more efficient than other randomized response models suggested by Greenberg et al. [3] and Gupta et al. [4] estimators.
Jea-Bok Ryu +3 more
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The Problem of Dimensionality in Stratified Sampling
Management Science, 1989Stratified sampling is perhaps the most natural of the variance reduction techniques. However its use is often frustrated by the high dimensionality of the sample space. This paper investigates the difficulty and suggests a basic sampling scheme for use in such problems.
Russell C. H. Cheng, Teresa Davenport
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