One of the objectives of statistical inference is to draw conclusions about some parameter, like the mean or the variance of a (possibly conceptual) population of interest based on the information obtained in a sample conveniently selected therefrom. For practical purposes, estimates of these parameters must be coupled with statistical properties and except in the most simple cases, exact properties are difficult to obtain and one must rely on approximations.

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Central Limit Theorems

  • Julio M. Singer

摘要

One of the objectives of statistical inference is to draw conclusions about some parameter, like the mean or the variance of a (possibly conceptual) population of interest based on the information obtained in a sample conveniently selected therefrom. For practical purposes, estimates of these parameters must be coupled with statistical properties and except in the most simple cases, exact properties are difficult to obtain and one must rely on approximations.