No CrossRef data available.
Article contents
Tests for the Scale Parameter of the Truncated Normal
Published online by Cambridge University Press: 20 November 2018
Extract
Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
This paper continues the work begun in [l] and examines the loss of power when using tests based on the assumption that the variable being sampled has a “complete” normal distribution, when in fact, sampling is from a symmetrically truncated distribution. The hypothesis consideredhere is the one - sided test for the variance of a normaldistribution. Some tables have been computed and they showthat appreciable losses in size occur. Some loss occurs in the power too, but this decreases with the alternativevalueof the variance and the degree of truncation.
Information
- Type
- Research Article
- Information
- Copyright
- Copyright © Canadian Mathematical Society 1960
References
1.
Aggarwal, Om. P. and Irwin, Guttman, Truncation and tests of hypotheses, Ann. Math. Statist. 30(1959), 230-238.Google Scholar
2.
Birnbaum, Z. W. and Andrews, F. C., On sums of symmetrically truncated normal random variables, Ann. Math. Statist. 20 (1949), 458-461.Google Scholar
3.
Irwin, Guttman, Tables of the Cumulative Distribution Function of Pseudo Chi-Squares, n = 1, 2, 3 and 4, unpublished.Google Scholar
You have
Access