Sampling variance estimation in complex sample surveys.

Toprak, A Ömer


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The objective of this paper is to define and compare alternative sampling frames for the representative population coverage as a basis for sample selection in internet surveys. The study aims to provide a methodology for domain weighting and adjustment procedures for free access web surveys that are based on the restricted access surveys. Some basic variables can be proposed for the data adjustment, namely gender breakdown, age groups, and education groups. The application of our work consists of a first st...
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Yan, Shuting; Peck, Jason M.; İlgü, Müslüm; Nilsen-Hamilton, Marit; Lamm, Monica H. (2020-08-01)
Using multiple independent simulations instead of one long simulation has been shown to improve the sampling performance attained with the molecular dynamics (MD) simulation method. However, it is generally not known how long each independent simulation should be, how many independent simulations should be used, or to what extent either of these factors affects the overall sampling performance achieved for a given system. The goal of the present study was to assess the sampling performance of multiple indep...
Statistical forecasting of compression index.
Özdikmen, Atillâ; Department of Civil Engineering (1972)
Statistical tolerancing using designed experiments in a noisy environment
Köksal, Gülser (Elsevier BV, 2003-03-01)
We consider the method of designed experiments for statistical tolerance analysis, and study the impact of experimental error on its results.-It is observed that presence of random error in the experiment environment (e.g. laboratory) could introduce bias in the moment estimators and increases their-respective variances. We propose adjustments to the method that would reduce the bias as well as the variance of these estimators. A numerical example is presented.
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Sazak, HS; Tiku, ML; İslam, Muhammed Qamarul (Wiley, 2006-04-01)
In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are given.
Citation Formats
A. Ö. Toprak, “Sampling variance estimation in complex sample surveys.,” Middle East Technical University, 1996.