In many applications, the manifest variables are not even approximately multivariate normal. If this happens to be the case with your data set, the default generalized least-squares and maximum ...
This is a preview. Log in through your library . Abstract The paper examines the nature of the latent random variables which occur in linear structural models, under the assumption that they are ...
The Grouped Continuous Model for Multivariate Ordered Categorical Variables and Covariate Adjustment
The grouped continuous model for multivariate ordered categorical data is described. This is based on partitioning an underlying multivariate normal distribution. Straightforward maximum likelihood ...
This course is available on the MPhil/PhD in Statistics, MSc in Data Science, MSc in Health Data Science, MSc in Marketing, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in ...
Treatment of germ cell cancer with two cycles of high-dose ifosfamide, carboplatin, and etoposide with autologous stem-cell support. Three hundred ten patients treated with HDCT at four centers in the ...
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