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22 - Foundational Issues

from Part III - Elements of Statistical Inference

Published online by Cambridge University Press:  22 July 2022

Ery Arias-Castro
Affiliation:
University of California, San Diego
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Summary

Randomization was presented in a previous chapter as an essential ingredient in the collection of data, both in survey sampling and in experimental design. We argue here that randomization is the essential foundation of statistical inference: It leads to conditional inference in an almost canonical way, and allows for causal inference, which are the two topics covered in the chapter.

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Chapter
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Principles of Statistical Analysis
Learning from Randomized Experiments
, pp. 356 - 370
Publisher: Cambridge University Press
Print publication year: 2022

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  • Foundational Issues
  • Ery Arias-Castro, University of California, San Diego
  • Book: Principles of Statistical Analysis
  • Online publication: 22 July 2022
  • Chapter DOI: https://doi.org/10.1017/9781108779197.027
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  • Foundational Issues
  • Ery Arias-Castro, University of California, San Diego
  • Book: Principles of Statistical Analysis
  • Online publication: 22 July 2022
  • Chapter DOI: https://doi.org/10.1017/9781108779197.027
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Foundational Issues
  • Ery Arias-Castro, University of California, San Diego
  • Book: Principles of Statistical Analysis
  • Online publication: 22 July 2022
  • Chapter DOI: https://doi.org/10.1017/9781108779197.027
Available formats
×