Survey sampling: Difference between revisions
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The most elementary methodology is called [[Simple Random Sampling]]. Most of the theory of statistics assumes this kind of sampling unless otherwise noted. It assures that every possible subset of the population which has the desired sample size is given the same probability of selection. The possibility of very expensive or very atypical samples has lead to a variety of modfications such as [[ |
The most elementary methodology is called [[Simple Random Sampling]]. Most of the theory of statistics assumes this kind of sampling unless otherwise noted. It assures that every possible subset of the population which has the desired sample size is given the same probability of selection. The possibility of very expensive or very atypical samples has lead to a variety of modfications such as [[stratified sampling]], [[cluster sampling]], and [[multistage sampling]]. The most experienced center in these techniques outside the Census Bureau is the [http://www.isr.umich.edu/src/research.html University of Michigan Survey Research Center]. |
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Revision as of 07:15, 30 June 2001
The model of a randomly selected sample from a finite population has been very fruitful. Sophisticated sampling techniques that are both economical and scientifically reliable have been developed. An entire industry of public opinion polling as well as the technical activities of the U.S. Bureau of the Census depend on these techniques.
The most elementary methodology is called Simple Random Sampling. Most of the theory of statistics assumes this kind of sampling unless otherwise noted. It assures that every possible subset of the population which has the desired sample size is given the same probability of selection. The possibility of very expensive or very atypical samples has lead to a variety of modfications such as stratified sampling, cluster sampling, and multistage sampling. The most experienced center in these techniques outside the Census Bureau is the University of Michigan Survey Research Center.
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