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?”
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© 1996 Springer-Verlag New York Inc.
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Mittelhammer, R.C. (1996). Sampling, Sample Moments, Sampling Distributions, and Simulation. In: Mathematical Statistics for Economics and Business. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3988-8_6
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DOI: https://doi.org/10.1007/978-1-4612-3988-8_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8461-1
Online ISBN: 978-1-4612-3988-8
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