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Basic Probability

Mathematics, Probability and Poker


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Influence

Cook's distance From Wikipedia, the free encyclopedia • Ten things you didn't know about Wikipedia •Jump to: navigation, search In statistics, the Cook's distance is a commonly used estimate of the influence of a data point when doing least squares regression. Cook's distance measures the effect of deleting a given observation. Data points with large residuals (outliers) and/or high leverage may distort the outcome and accuracy of a regression. Points with a Cook's distance of 1 or more are considered to merit closer examination in the analysis. [edit] See Also DFFITS [edit] References Cook, R. Dennis. 1977. "Detection of Influential Observations in Linear Regression." Technometrics 19:15-18. Cook, R. Dennis. 1979. "Influential Observations in Linear Regression." Journal of the American Statistical Association 74: 169-174. Frederick O. Lorenz, "Teaching about Influence in Simple Regression", Teaching Sociology, Vol. 15, No. 2, Teaching Research Methods and Statistics. (Apr., 1987), pp. 173-177. http://mtsu32.mtsu.edu:11308/regression/level3/cook/concept.htm



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Alspach's Mathematics and Poker Page
Brian Alspach used to write a regular column on combinatorics for Poker Digest. He's a retired math professor from Simon Fraser University.
Tom Ferguson's home page
He's a math ;professor at UCLA and Chris Ferguson's father.
MathPages.com
A collection of straight-forward introductions to various topics in mathematics and recreational mathematics.


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Kelly betting

These are all somewhat technical articles.