Sampling, Sample Moments and Sampling Distributions

  • Ron C. Mittelhammer


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?”


Population Distribution Simple Random Sampling Joint Density Empirical Distribution Function Sample Moment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Ron C. Mittelhammer
    • 1
  1. 1.School of Economic SciencesWashington State UniversityPullmanUSA

Personalised recommendations