Multivariate normality testing plays a critical role in modern statistical analysis by evaluating whether a multivariate dataset conforms to the assumptions of a normal distribution. Such assessments ...
Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 51, No. 3 (Dec., 1989), pp. 425-428 (4 pages) A two-stage analogue of the chi-square test for the mean of a multivariate normal ...
Pseudo-likelihood Estimation of Multivariate Normal Parameters in the Presence of Left-Censored Data
Environmental data often include left-censored values reported to be less than some limit of detection (LOD). While simple imputation of a specific value such as LOD/2 is common, maximum likelihood ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results