Stata is a popular statistical package for data analysis. This is one of the popular statistical packages that is being used by researchers and practitioners alike. In this article, we outline some of the essential components of data analysis with Stata. The article will be updated from time to time with more data analysis tools.

Robust regression in a regression technique alternative to classical least squares regression. The motivation is to fit linear or nonlinear equations to a data in the presence of outliers or where classical assumptions may have been violated. In general, robust statistical procedures are those procedures which provides estimators that are not unduly affected by small departures from model assumptions.

Recently I've made the switch from Windows Vista to Ubuntu Linux. After switching, the first thing I needed was an editor for R package. R is my favourite and most-used environment for statistical computing.

Here is an encouraging post in New York Times newspaper about the prospect of statistics as a subject matter that will dominate the world in the coming years.