Keywords: Computational statistics, survey methods, freeware, open source
Open-source software like R is becoming more popular among statisticians and students learning statistics. One attractive factor of open-source statistical software is its availability for a wide range of statistical methods for free (freeware). On the other hand, commercial statistical software is not free. The presenter will discuss available freeware for several statistical methods based on his 20 years’ experience as a statistician working on federal programs, particularly in survey methods areas. In addition, he will discuss the pros and cons of using freeware and commercial software to carry out statistical tasks such as power analysis, sample selection, imputation, statistical disclosure control, analysis for complex survey data, variance estimation, matching, small area estimation, and statistical process control.