|
| next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 1 of 10 found articles
| Title: |
A balanced approach to region estimation with tables for the normal model |
| Author: |
Bratcher, T. L. Hobbs, A. Paul, J. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 13 (1984) nr. 6 pages 801-821 |
| Year: |
1984 |
| Contents: |
Practitioners of statistics are too often guilty of routinely selecting a 95% confidence level in interval estimation and ignoring the sample size and the expected size of the interval. One way to balance coverage and size is to use a loss function in a decision problem. Then either the Bayes risk or usual risk (if a pivotal quantity exists) may be minimized. It is found that some non-Bayes solutions are equivalent to Bayes results based on non-informative priors. The decision theory approach is applied to the mean and standard deviation of the univariate normal model and the mean of the multivariate normal. Tables are presented for critical values, expected size, confidence and sample size. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 1 of 10 found articles
| next >> |