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Analysis of a global random stratified sample of nurse legislation
International Nursing Review, 2015AimTo identify, compare and contrast the major component parts of heterogeneous stratified sample of nursing legislation.BackgroundNursing legislation varies from one jurisdiction to another. Up until now no research exists into whether the variations of such legislation are random or if variations are related to a set of key attributes.MethodsThis ...
D C, Benton +3 more
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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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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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Efficient estimation of population mean under stratified random sampling with linear cost function
Communications in Statistics Part B: Simulation and Computation, 2021Subhash Kumar Yadav +2 more
exaly
In-type estimators for the population variance in stratified random sampling
Communications in Statistics Part B: Simulation and Computation, 2020Hatice Öncel Çekim, Cem Kadilar
exaly
An efficient exponential estimator of the mean under stratified random sampling
Mathematical Population Studies, 2021Tolga Zaman
exaly

