|
| << previous |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 10 of 10 found articles
| Title: |
Test procedures for the analysis of experimental designs with correlated nonnormal data |
| Author: |
Pavur, R.J. Lewis, T.O. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 11 (1982) nr. 20 pages 2315-2334 |
| Year: |
1982 |
| Contents: |
Using Monte Carlo methods, an examination is made of two statistical methods used for hypothesis testing in a general factorial model with a known correlation structure General correlation structures are given in Smith and Lewis (1980) and Pavur and Lewis (1982) which allow the usual F statistic to be corrected by a constant. The corrected F statistic would be the usual F statistic multiplied by a correction constant. A comparison is made between this corrected f statistic and the rank transform F statistic presented by Conover and Iman (1976). When the usual F statistic and the rank transform statistic are corrected for correlationt this simulation study shows that these statistical tests behave well under a variety of situations when not all f the usual assumptions of an ANOVA are satisfied. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 10 of 10 found articles
| << previous |