Results 241 to 250 of about 392,560 (289)

Stratified progressive random sampling [welfare claims processing]

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), 2003
A number of applications, including claims made under Federal social welfare programs, require retrospective sampling over multiple time periods. A common characteristic of such samples is that population members could appear in multiple time periods.
P. De los Santos, R.J. Burke, J.M. Tien
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Design-Based or Prediction-Based Inference? Stratified Random vs Stratified Balanced Sampling

International Statistical Review / Revue Internationale de Statistique, 1999
SummaryEarly survey statisticians faced a puzzling choice between randomized sampling and purposive selection but, by the early 1950s, Neyman's design‐based or randomization approach had become generally accepted as standard. It remained virtually unchallenged until the early 1970s, when Royall and his co‐authors produced an alternative approach based ...
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An improved estimation in stratified random sampling

Communications in Statistics - Theory and Methods, 2016
ABSTRACTThe 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

2020
In 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, 1992
AbstractSample 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

1986
We 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 investigators
Astha Jain, Diwakar Shukla
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Bayesian stratified random sampling using auxiliary information

Annals of the Institute of Statistical Mathematics, 1982
Smith (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, 1976
The 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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Noble-Metal Based Random Alloy and Intermetallic Nanocrystals: Syntheses and Applications

Chemical Reviews, 2021
Ming Zhou, Can Li, Jiye Fang
exaly