翻訳と辞書 Words near each other ・ Marginal constituencies in the United Kingdom general election, 2010 ・ Marginal cost ・ Marginal cost of capital schedule ・ Marginal cost of public funds ・ Marginal demand ・ Marginal distribution ・ Marginal efficiency of capital ・ Marginal employment ・ Marginal factor cost ・ Marginal intra-industry trade ・ Marginal land ・ Marginal likelihood ・ Marginal Man ・ Marginal man theory ・ Marginal mandibular branch of the facial nerve ・ Marginal model ・ Marginal nucleus of spinal cord ・ Marginal Pinheiros ・ Marginal Prince ・ Marginal product ・ Marginal product of capital ・ Marginal product of labor ・ Marginal profit ・ Marginal propensity to consume ・ Marginal propensity to import ・ Marginal propensity to save ・ Marginal Prophets ・ Marginal rate of substitution ・ Marginal rate of technical substitution ・ Marginal return Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Marginal model ： ウィキペディア英語版 Marginal model In statistics, marginal models (Heagerty & Zeger, 2000) are a technique for obtaining regression estimates in multilevel modeling, also called hierarchical linear models. People often want to know the effect of a predictor/explanatory variable ''X'', on a response variable ''Y''. One way to get an estimate for such effects is through regression analysis. ==Why the name marginal model?== In a typical multilevel model, there are level 1 & 2 residuals (R and U variables). The two variables form a joint distribution for the response variable ($Y\_$). In a marginal model, we collapse over the level 1 & 2 residuals and thus ''marginalize'' (see also conditional probability) the joint distribution into a univariate normal distribution. We then fit the marginal model to data. For example, for the following hierarchical model, :level 1: $Y\_\; =\; \backslash beta\_\; +\; R\_$, the residual is $R\_$, and $var(R\_)\; =\; \backslash sigma^2$ :level 2: $\backslash beta\_\; =\; \backslash gamma\_\; +\; U\_$, the residual is $U\_$, and $var(U\_)\; =\; \backslash tau\_0^2$ Thus, the marginal model is, :$Y\_\; \backslash sim\; N(\backslash gamma\_,(\backslash tau\_0^2+\backslash sigma^2))$ This model is what is used to fit to data in order to get regression estimates. 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「Marginal 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.