generalized cross-validation
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Cross-validation (statistics) — Cross validation, sometimes called rotation estimation,[1][2][3] is a technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and… … Wikipedia
Generalized additive model — In statistics, the generalized additive model (or GAM) is a statistical model developed by Trevor Hastie and Rob Tibshirani for blending properties of generalized linear models with additive models.The model specifies a distribution (such as a… … Wikipedia
GCV — Generalized Cross Validation (Computing » Software) *** Gross Calorific Value (Miscellaneous » Food) * Group Commissionable Volume (Business » General) * Gabelli Service Funds, Inc. (Business » NYSE Symbols) … Abbreviations dictionary
Multivariate adaptive regression splines — (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991.[1] It is a non parametric regression technique and can be seen as an extension of linear models that automatically models non linearities and interactions. The term… … Wikipedia
Grace Wahba — (born August 3, 1934) is the I. J. Schoenberg Professor of Statistics at the University of Wisconsin Madison. She is a pioneer in methods for smoothing noisy data, where the problem is to balance a smooth fit against loss of information. Best… … Wikipedia
GCV — abbr. Generalized Cross Validation … Dictionary of abbreviations
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Outline of regression analysis — In statistics, regression analysis includes any technique for learning about the relationship between one or more dependent variables Y and one or more independent variables X. The following outline is an overview and guide to the variety of… … Wikipedia
Tikhonov regularization — Tikhonov regularization, named for Andrey Tikhonov, is the most commonly used method of regularization of ill posed problems. In statistics, the method is known as ridge regression, and, with multiple independent discoveries, it is also variously … Wikipedia
Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is … Wikipedia
Degrees of freedom (statistics) — In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary.[1] Estimates of statistical parameters can be based upon different amounts of information or data. The number… … Wikipedia
