Making Inferences about Parameters

  • Published 2014

Abstract

One must know the sampling distribution of the estimator (the statistic used to estimate  I shall use   to stand for the statistic used to estimate  ) to make full use of the estimator. The sampling distribution of a statistic is the distribution that would be obtained if you repeatedly drew samples of a specified size from a specified population and… (More)

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Cite this paper

@inproceedings{2014MakingIA, title={Making Inferences about Parameters}, author={}, year={2014} }