-Statistics by De-
DeTistics
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Find out about different data mining and statistical techniques.
What if your data violate the assumptions of your chosen technique?
De!
Read De's totally amazing publications on data mining and statistics.
Can't get enough De? Check out the (very) occasional blog post.
DeTistics Highlights
The latest technique added is cluster analysis. Cluster analysis is a data mining technique for finding groups of similar data points by plotting those points in multidimensional space.
The latest assumptions added are the assumptions for linear regression, which include: linearity, homoscedasticity of error variance, and normality of errors.
My latest blog post discusses the similarities and differences between association and correlation, two common techniques for finding relationships in data.
The latest technique added is cluster analysis. Cluster analysis is a data mining technique for finding groups of similar data points by plotting those points in multidimensional space.
The individual human being is unpredictable, but the reactions of human mobs, Seldon found, could be treated statistically. The larger the mob, the greater the accuracy that could be achieved.
Isaac Asimov - Foundation's Edge (1982)
As a single atom man is an enigma: as a whole he is a mathematical problem. As an individual he is a free agent, as a species the offspring of necessity.
William Winwood Reade - The Martyrdom of Man (1872)
All models are wrong, but some models are useful.
George E.P. Box - Robustness in the Strategy of Scientific Model Building (1979)