Research interests in statistics cover diagnostics and inference, multivariate analysis, time series and spatial analysis. Inference and diagnostics deals with the exploring of the characteristics of a given data set for a particular regression application. Whereas the main focus of the research in multivariate analysis is the applied use in research of the multivariate techniques  such as data screening , discriminant analysis, principal components, factor analysis, confirmatory factor analysis, discriminant functional analysis, path analysis, structural modeling etc. Time series modelling is useful for forecasting various phenomena, whereas spatial modelling refers to modelling random phenomena on a two dimensional finite plane. It follows that spatial research is centered in FISSAR models and non-separable spatial ARMA models.

Updated:: [n_farrid] Updated:: 28/02/2014 [juitamdtahir]