Department:  Faculty of Sciences, Department of Mathematics and Statistics

Position:  Chairman/Assistant Professor

HEC Approved Supervisor:  NO

Research Intersts:  Outliers of either type may influence on the results of statistical analysis, so they should be identified by using some suitable and reliable detection methods prior to performing data analysis. When potential outlier(s) is encountered, the first suspicion may be that such observations resulted from a mistake or other extraneous effect, and should be discarded. However, if the outlier in “real” it may be contained some important information about the underlying population of real values. Non judicious removal of observation that appears to be outliers may results in underestimation of the uncertainty present in the data.

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