Frequentist Methods for Statistical Inference

Authored by: David H. Kaye

Handbook of Forensic Statistics

Print publication date:  November  2020
Online publication date:  November  2020

Print ISBN: 9781138295407
eBook ISBN: 9780367527709
Adobe ISBN:


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Statistics textbooks promise that methods for statistical inference can assist in “making valid generalizations from samples” (Freedman et al., 1998, p. xvi); in “draw[ing] conclusions about a population or process based on sample data” (Moore and McCabe, 1993, p. 427); or in answering the question, “[g]iven the outcomes, what can we say about the process that generated the data?” (Wasserman, 2004, p. ix). This chapter outlines the logic of “classical” or “frequentist” methods for such inference. These methods do not purport to remove all threats to the validity of inferences, but they do provide a clear way to think about and respond to statistical error—the ubiquitous variability in outcomes that results from random influences.

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