The Scaled Uniform Model Revisited. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Mandel, Micha
• Is Part Of: American statistician. Volume 74:Issue 1(2020)
• Page Start: 98
• Page End: 100
• Publication Date: 2020-01-02
• Subjects: Conditionality principle -- Minimal sufficient -- Scale family -- Uniformly minimum variance unbiased estimator; Statistics -- Periodicals; 001.42205
• DOI: 10.1080/00031305.2019.1604431
• Languages: English
• ISSNs: 0003-1305

Abstract

Abstract: Sufficiency, conditionality, and invariance are basic principles of statistical inference. Current mathematical statistics courses do not devote much teaching time to these classical principles, and even ignore the latter two, in order to teach modern methods. However, being the philosophical cornerstones of statistical inference, a minimal understanding of these principles should be part of any curriculum in statistics. The scaled uniform model is used here to demonstrate the importance and usefulness of the conditionality principle, which is probably the most basic and less familiar among the three.