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An improved estimation in stratified random sampling
Communications in Statistics - Theory and Methods, 2016ABSTRACTThe article suggests a class of estimators of population mean in stratified random sampling using auxiliary information with its properties. In addition, various known estimators/classes of estimators are identified as members of the suggested class.
Ramkrishna S. Solanki, Housila P. Singh
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Inverse Adaptive Stratified Random Sampling
2020In this article, we have proposed a new sampling design which is a combination of stratified random sampling and general inverse adaptive cluster sampling designs. From each stratum, an initial sample of fixed size is drawn. By using the condition of adaptation, we decide the number of successes, and if it includes prefixed number of successes then ...
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Sample size requirements for stratified cluster randomization designs
Statistics in Medicine, 1992AbstractSample size requirements are provided for designs of studies in which clusters are randomized within each of several strata, where cluster size itself may be a stratifying factor. The approach generalizes a formula derived by Woolson et al., which provides sample size requirements for the Cochran‐Mantel‐Haenszel statistic.
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Ratio Estimators in Stratified Random Sampling
1986We assume that there are L strata, numbered h = 1,...,L. The h-th stratum consists of Nh units of unequal size, numbered i = 1,...,Nh .
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STRATIFIED RANDOM SAMPLING WITH RISK APPROACH
In stratified random sampling, the sample size allocation is a problem which is tackled by many scientists and survey practitioners. Generally the proportional allocation, Neyman allocation and cost based allocation, are used to conduct sample surveys for gathering information from each strata. One can think of risk imposed on the life of investigatorsAstha Jain, Diwakar Shukla
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Bayesian stratified random sampling using auxiliary information
Annals of the Institute of Statistical Mathematics, 1982Smith (1976,J. R. Statist. Soc., A,139, 183–204) has argued that survey statisticians should attempt to model finite population structures in the same way that statisticians in other disciplines have to provide models of finite or infinite populations.
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Stratified simple random sampling and prior distributions
Annals of the Institute of Statistical Mathematics, 1976The problem of stratification with proportional and optimum allocations in the case of simple random sampling has been examined in the light of an appropriate super-population model and a formal proof has been provided here for arranging the auxiliary character in increasing order of magnitude for stratification in the case of proportional allocation ...
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Modified Ratio Estimators in Stratified Random Sampling
20142, 33, Journal of SCIENCE and TECHNOLOGY Mahasarakham ...
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