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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Log-linear model ： ウィキペディア英語版 Log-linear model A log-linear model is a mathematical model that takes the form of a function whose logarithm is a linear combination of the parameters of the model, which makes it possible to apply (possibly multivariate) linear regression. That is, it has the general form :$\backslash exp\; \backslash left(c\; +\; \backslash sum\_\; w\_i\; f\_i(X)\; \backslash right)$, in which the are quantities that are functions of the variables , in general a vector of values, while and the stand for the model parameters. The term may specifically be used for: *A log-linear plot or graph, which is a type of semi-log plot. *Poisson regression for contingency tables, a type of generalized linear model. The specific applications of log-linear models are where the output quantity lies in the range 0 to ∞, for values of the independent variables , or more immediately, the transformed quantities in the range −∞ to +∞. This may be contrasted to logistic models, similar to the logistic function, for which the output quantity lies in the range 0 to 1. Thus the contexts where these models are useful or realistic often depends on the range of the values being modelled. ==See also== *Loglinear analysis *General linear model *Generalized linear model * Boltzmann distribution 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Log-linear model」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.