Sampling, Sample Moments, Sampling Distributions, and Simulation

Ron C. Mittelhammer
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Ron C. Mittelhammer: Washington State University, Program in Statistics and Department of Agricultural Economics

Chapter 6 in Mathematical Statistics for Economics and Business, 1996, pp 297-361 from Springer

Abstract: Abstract Beginning with this chapter, we turn our attention toward concepts and procedures that are explicitly related to the problem of statistical inference. Prior to this point, our study of probability theory and its implications has essentially addressed questions of deduction: “Given a probability space, what can we deduce about the characteristics of outcomes of an experiment?” Our study of statistical inference will turn this question around: “Given the characteristics of outcomes of an experiment, what can we infer about the probability space?”

Keywords: Sampling Distribution; Population Distribution; Sample Covariance; Joint Density; Empirical Distribution Function (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-3988-8_6

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DOI: 10.1007/978-1-4612-3988-8_6

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