Sampling, Sample Moments and Sampling Distributions

Ron C. Mittelhammer
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Ron C. Mittelhammer: Washington State University, School of Economic Sciences

Chapter 6 in Mathematical Statistics for Economics and Business, 2013, pp 295-361 from Springer

Abstract: Abstract Prior to this point, our study of probability theory and its implications has essentially addressed questions of deduction, being of the type: “Given a probability space, what can we deduce about the characteristics of outcomes of an experiment?” Beginning with this chapter, we turn this question around, and focus our attention on statistical inference and questions of the form: “Given characteristics associated with the outcomes of an experiment, what can we infer about the probability space?”

Keywords: Population Distribution; Simple Random Sampling; Joint Density; Empirical Distribution Function; Sample Moment (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5022-1_6

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DOI: 10.1007/978-1-4614-5022-1_6

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