Applied Statistics


According to the definition in WikiPedia, Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It also provides tools for prediction and forecasting based on data.

Personally I was introduced to the discipline by several lectures in Peking, Cambridge and Heidelberg and more by self-teaching, motivated by many friends and colleagues including Stefan Wiemann, Wolfgang Huber and Florian Hahne. Statistics attracts me mostly by its power to describe uncertainty, native link to mathematics and wide applications in both academic and industrial environment.

R is is a programming language and software environment for statistical computing and graphic. Many statistical tools have been implemented in R, which makes it an distinguishing programming language and environment to learn and play with statistics. Demo codes in R are provided whenver possible to help understanding statistical concepts, procedures, conclusions, etc.

External Resources

LabelAuthorURL
Brad Efron Brad Efron Link 
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