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Sampling, Sample Moments, Sampling Distributions, and Simulation

In: Mathematical Statistics for Economics and Business

Author

Listed:
  • Ron C. Mittelhammer

    (Washington State University, Program in Statistics and Department of Agricultural Economics)

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?”

Suggested Citation

  • Ron C. Mittelhammer, 1996. "Sampling, Sample Moments, Sampling Distributions, and Simulation," Springer Books, in: Mathematical Statistics for Economics and Business, chapter 6, pages 297-361, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-3988-8_6
    DOI: 10.1007/978-1-4612-3988-8_6
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