We consider a multivariate survival distribution derived from an inverse Gaussian mixture of exponential distributions. The variables of this multivariate distribution are shown to exhibit total ...

A new form of non-linear autoregressive time series is proposed to model solar radiation data, by specifying joint marginal distributions at low lags to be multivariate Gaussian mixtures. The model is ...

You are invited to attend the following M.A.Sc. (Quality Systems Engineering) thesis examination. Finite mixture models have been revealed to provide flexibility for data clustering. They have ...

You are invited to attend the following M.A.Sc. (Quality Systems Engineering) thesis examination. We have designed and implemented a finite mixture model, using the scaled Dirichlet distribution for ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.