翻訳と辞書 Words near each other ・ Generalized logistic distribution ・ Generalized Lotka–Volterra equation ・ Generalized lymphadenopathy ・ Generalized map ・ Generalized Maxwell model ・ Generalized mean ・ Generalized method of moments ・ Generalized minimal residual method ・ Generalized minimum-distance decoding ・ Generalized Multi-Protocol Label Switching ・ Generalized multidimensional scaling ・ Generalized multivariate log-gamma distribution ・ Generalized Music Plug-in Interface ・ Generalized Newtonian fluid ・ Generalized nondeterministic finite automaton ・ Generalized normal distribution ・ Generalized other ・ Generalized Ozaki cost function ・ Generalized p-value ・ Generalized Pareto distribution ・ Generalized permutation matrix ・ Generalized Petersen graph ・ Generalized phrase structure grammar ・ Generalized Pochhammer symbol ・ Generalized Poincaré conjecture ・ Generalized polygon ・ Generalized processor sharing ・ Generalized Procrustes analysis ・ Generalized pustular psoriasis ・ Generalized quadrangle 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 Generalized normal distribution ： ウィキペディア英語版 Generalized normal distribution The generalized normal distribution or generalized Gaussian distribution (GGD) is either of two families of parametric continuous probability distributions on the real line. Both families add a shape parameter to the normal distribution. To distinguish the two families, they are referred to below as "version 1" and "version 2". However this is not a standard nomenclature. ==Version 1== Known also as the exponential power distribution, or the generalized error distribution, this is a parametric family of symmetric distributions. It includes all normal and Laplace distributions, and as limiting cases it includes all continuous uniform distributions on bounded intervals of the real line. This family includes the normal distribution when $\backslash textstyle\backslash beta=2$ (with mean $\backslash textstyle\backslash mu$ and variance $\backslash textstyle\; \backslash frac$) and it includes the Laplace distribution when $\backslash textstyle\backslash beta=1$. As $\backslash textstyle\backslash beta\backslash rightarrow\backslash infty$, the density converges pointwise to a uniform density on $\backslash textstyle\; (\backslash mu-\backslash alpha,\backslash mu+\backslash alpha)$. This family allows for tails that are either heavier than normal (when ) or lighter than normal (when $\backslash beta>2$). It is a useful way to parametrize a continuum of symmetric, platykurtic densities spanning from the normal ($\backslash textstyle\backslash beta=2$) to the uniform density ($\backslash textstyle\backslash beta=\backslash infty$), and a continuum of symmetric, leptokurtic densities spanning from the Laplace ($\backslash textstyle\backslash beta=1$) to the normal density ($\backslash textstyle\backslash beta=2$). 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「Generalized normal distribution」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.