Results 231 to 240 of about 265,026 (252)
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2010
Summary: Stratified simple random sampling (SSRS) is used in certain types of surveys because it combines the conceptual simplicity of simple random sampling (SRS) with potentially significant gains in efficiency. It is a convenient technique to use whenever we wish to ensure that our sample is representative of the population and also to obtain ...
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Summary: Stratified simple random sampling (SSRS) is used in certain types of surveys because it combines the conceptual simplicity of simple random sampling (SRS) with potentially significant gains in efficiency. It is a convenient technique to use whenever we wish to ensure that our sample is representative of the population and also to obtain ...
openaire +1 more source
Asymptotic Normality and the Bootstrap in Stratified Sampling
Annals of Statistics, 1984P J Bickel
exaly
On stratified bivariate ranked set sampling for regression estimators
Journal of Applied Statistics, 2015Daniel F Linder, Hani M Samawi, Lili Yu
exaly
A stratified sampling based clustering algorithm for large-scale data
Knowledge-Based Systems, 2019Xingwang Zhao +2 more
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Data splitting for artificial neural networks using SOM-based stratified sampling
Neural Networks, 2010Holger R Maier, G C Dandy
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Calibration Weighting in Stratified Random Sampling
Communications in Statistics Part B: Simulation and Computation, 2016Nursel Koyuncu, Cem Kadilar
exaly
Stratified random sampling for power estimation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1998Cheng-Ta Hsieh, Massoud Pedram
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Simulation of coalescence with stratified sampling
Proceedings of the 2012 Winter Simulation Conference (WSC), 2012Rami El Haddad +4 more
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A New Estimator of Population Mean in Stratified Sampling
Communications in Statistics - Theory and Methods, 2006Javid Shabbir, Sat Gupta
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