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book chapter · Princeton University Press eBooks · 2014

Classical Statistical Inference

Željko Ivezi, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray

Cited by 0Abstract and details only

Abstract

This chapter introduces the main concepts of statistical inference, or drawing conclusions from data. There are three main types of inference: point estimation, confidence estimation, and hypothesis testing. There are two major statistical paradigms which address the statistical inference questions: the classical, or frequentist paradigm, and the Bayesian paradigm. While most of statistics and machine learning is based on the classical paradigm, Bayesian techniques are being embraced by the statistical and scientific communities at an ever-increasing pace. The chapter begins with a short comparison of classical and Bayesian paradigms, and then discusses the three main types of statistical inference from the classical point of view.

Cite this paper

APA 7

Ivezi, Ž., Connolly, A. J., VanderPlas, J. T., & Gray, A. (2014). Classical Statistical Inference. Princeton University Press eBooks. https://doi.org/10.23943/princeton/9780691151687.003.0004

MLA 9

Ivezi, Željko, et al. “Classical Statistical Inference.” Princeton University Press eBooks, 2014, https://doi.org/10.23943/princeton/9780691151687.003.0004.

Chicago

Ivezi, Željko, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray. 2014. “Classical Statistical Inference.” Princeton University Press eBooks. https://doi.org/10.23943/princeton/9780691151687.003.0004.

Harvard

Ivezi, Ž. et al. (2014) ‘Classical Statistical Inference’, Princeton University Press eBooks. Available at: https://doi.org/10.23943/princeton/9780691151687.003.0004.

BibTeX
@incollection{ivezi2014classical,
  title = {{Classical Statistical Inference}},
  author = {Ivezi, Željko and Connolly, Andrew J. and VanderPlas, Jacob T. and Gray, Alexander},
  booktitle = {Princeton University Press eBooks},
  year = {2014},
  doi = {10.23943/princeton/9780691151687.003.0004}
}

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