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 Comparing Correlated Means in the Presence of Incomplete Data
โ Scribed by Prof. Dinesh S. Bhoj
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 489 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
โฆ Synopsis
Burnma y
Two atatieticsareproposd for teeting the hypothmis of equality of the means of B bivariate normal distribution with unknown common variance and correlation coefficient when observations are missing on both variah. One of the statiatica reduces to the one proposed by BHOJ (1978,1984) when the unpaired observations on the variatea are equal. The distributions of the statistics are approximated by well known distributions under the null hypothesis.The empirical powers of the teats are computed and compared with those of some known statistics. The comparison supports the use of one of the statisticspmposed in this paper.
๐ SIMILAR VOLUMES
Analysis of a major multi-site epidemiologic study of heart disease has required estimation of the pairwise correlation of several measurements across subpopulations. Because the measurements from each subpopulation were subject to sampling variability, the Pearson product moment estimator of these