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The frequentist (or classical) approach is a branch of statistics that currently represents the predominant methodology used in empirical data analysis and inference. Frequentist statistics emerged as a prevailing method for inference in the 20th century, particularly due to work by Fisher and, subsequently, by Neyman and Pearson. Given that distinct differences exist between the research conducted by these authors, however, frequentist inference may also be subcategorized as being either Fisherian or Neyman-Pearson in nature, although some view the Fisherian approach to be a distinct philosophy apart from frequentist statistics altogether.

Frequentist methods are often contrasted with those of Bayesian statistics, as these two schools of thought represent the more widely considered approaches through which formal inference is undertaken to analyze data and to incorporate robust ...

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