Hostname: page-component-6bb9c88b65-k72x6 Total loading time: 0 Render date: 2025-07-18T10:10:54.482Z Has data issue: false hasContentIssue false
  • English
  • Français

The information available in small samples

Published online by Cambridge University Press:  24 October 2008

M. S. Bartlett
M. S. Bartlett
Affiliation:
Queens' College
Get access Rights & Permissions [Opens in a new window]

Extract

When a probability distribution is specified by more than one parameter, the statistical information in a sample on an unknown α will usually depend on the values of the other unknowns. For large samples where the joint distribution of the estimates tends to normality, and the efficiency of the estimation to a maximum, little theoretical difficulty exists. In a discussion(1) of the more general theory of small samples, I have stressed the importance of properties of sufficiency.

Information

Type
Research Article
Information
Mathematical Proceedings of the Cambridge Philosophical Society , Volume 32 , Issue 4 , December 1936 , pp. 560 - 566
Copyright
Copyright © Cambridge Philosophical Society 1936

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

REFERENCES

(1)Bartlett, M. S., Proc. Roy. Soc. A, 154 (1936), 124–37.Google Scholar
(2)Fisher, R. A., The Design of Experiments (1935).Google Scholar
(3)Fisher, R. A., Annals of Eugenics, 6 (1935), 391–8.CrossRefGoogle Scholar
(4)Behrens, W. A., Landw. Jb. 68 (1929), 807–37.Google Scholar