Some Issues in the Foundation of Statistics

David Freedman
Additional contact information
David Freedman: University of California, Statistics Department

A chapter in Topics in the Foundation of Statistics, 1997, pp 19-39 from Springer

Abstract: Abstract After sketching the conflict between objectivists and subjectivists on the foundations of statistics, this paper discusses an issue facing statisticians of both schools, namely, model validation. Statistical models originate in the study of games of chance, and have been successfully applied in the physical and life sciences. However, there are basic problems in applying the models to social phenomena; some of the difficulties will be pointed out. Hooke’s law will be contrasted with regression models for salary discrimination, the latter being a fairly typical application in the social sciences.

Keywords: Statistics; Probability; Objectivist; Subjectivist; Bayes; de Finetti; Decision theory; Model validation; Regression (search for similar items in EconPapers)
Date: 1997
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-015-8816-4_4

Ordering information: This item can be ordered from
http://www.springer.com/9789401588164

DOI: 10.1007/978-94-015-8816-4_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().