A strrtistic is proposed for testing the hypothesis of equality of the means of a bivariate normal distribution with unknown common variance and correlation coefficient when observations are missing on one of the variates. Expressions for the second and fourth central moments of the statistic are ob
On Testing Equality of Means of Correlated Variates with Missing Data on One Response
β Scribed by Dr. Dinesh S. Bhoj
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 343 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
A statistic is proposed for testing the hypothesis of equality of the means of a bivariate normal distribution with unknown common variance and correlation coefficient when observations are miming on one of the variates. The distribution of the statistic is approximated by a normal distribution under the null hypothesis. The empirical powers of the statistic are computed and compared with those of the conventional p a i d t and the other known statistics. The power comparisons support the use of the proposed test.
K e y WOTds: Convex combination of independent tests; Empirical size and power;
Equality of means ; Missing data ; Paired t-test.
π SIMILAR VOLUMES
In this paper, repeated measures with intraclass correlation model is considered when the observations are missing at random. An exact test for the equality of the mean components and simultaneous confidence intervals (Scheffe Β΄and Bonferroni inequality types) are given for linear contrasts of the m
## Summa y Following SEN & GEBI~ (1975) an estimator for the population mean on the current occasion is proposed. It has been shown that the estimator is more efficient than 'mean per unit estimate' for all kind of populations. The eetimatiors suggeated by SEN & GERIG (1976) and SEABM (1964) are ,