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About 10,000 papers for “simple random sampling”

Simple Random Sampling

Ravindra Singh, Naurang Singh Mangat · Kluwer texts in the mathematical sciences · 1996

Cited by 9

Simple Random Sampling

Fricker, Ronald D. Jr · Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School) · 2013

Cited by 0

Simple Random Sampling

Steven K. Thompson · Wiley series in probability and statistics · 2012

Simple random sampling, or random sampling without replacement, is a sampling design in which n distinct units are selected from the N units in the population in such a way that every possible combination of n units is equally likely to be the sample selected. This chapter begins with a discussion of selecting a simple random sample. With simple random sampling, the sample mean is an unbiased estimator of the population mean. Also with simple random sampling, the sample variance is an unbiased estimator of the finite-population variance. The chapter then discusses random sampling with replacement. It presents derivations for random sampling and describes model-based approach to sampling. The chapter finally illustrates simple computations for sampling using the open-source statistical programming language R. Controlled Vocabulary Terms estimator; mean; random sampling; variance

Cited by 68

Simple Random Sampling

Paul S. Levy, Stanley Lemeshow · 2008

This chapter contains sections titled: What Is a Simple Random Sample? Estimation of Population Characteristics Under Simple Random Sampling Sampling Distributions of Estimated Population Characteristics Coefficients of Variation of Estimated Population Parameters Reliability of Estimates Estimation of Parameters for Subdomains How Large a Sample Do We Need? Why Simple Random Sampling Is Rarely Used Summary

Cited by 4

Simple random and stratified sampling

Mini, K G · Eprints@CMFRI Open Access Institutional Repository (Central Marine Fisheries Research Institute) · 2015

Simple random sampling is a method of selecting a sample from a finite population in such a way that every unit of the population is given an equal chance of being selected.

Cited by 0