Results 211 to 220 of about 150,322 (251)
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Restricted stratified random sampling
International Journal of Mineral Processing, 1989Abstract A method of sampling is described which is a compromise between systematic sampling and stratified random sampling. It has less potential for bias than systematic sampling and also avoids the practical problems associated with stratified random sampling.
Ian W. Saunders, Geoffrey K. Robinson
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Randomized response in stratified sampling
Journal of Statistical Planning and Inference, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christofides, Tasos C. +1 more
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On a Problem of Allocation of Sample Size in Stratified Random Sampling
Biometrical Journal, 1985AbstractIn this paper we shall consider the problem of judging how good an actual compromise allocation is compared to Neyman's optimum allocation for the case of stratified random sampling by obtaining a bound to the ratio of the corresponding variances.
Mukerjee, Rahul, Rao, T. J.
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1986
In forestry practice we often have to deal with populations that can be split up into various sub-populations that in some respect or other are mutually different. Each subpopulation (called stratum, plural strata) in itself then is more homogeneous than the population as a whole. Generally, we wish to obtain information for each stratum separately.
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In forestry practice we often have to deal with populations that can be split up into various sub-populations that in some respect or other are mutually different. Each subpopulation (called stratum, plural strata) in itself then is more homogeneous than the population as a whole. Generally, we wish to obtain information for each stratum separately.
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Estimation of Population Means in Multivariate Stratified Random Sampling
Communications in Statistics - Simulation and Computation, 2011In multivariate surveys where p (> 1) characteristics are defined on each unit of the population, the problem of allocation becomes complicated. In the present article, we propose a method to work out the compromise allocation in a multivariate stratified surveys.
Saman Khowaja +2 more
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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, Rahul Varshney
exaly