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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 Stochastic prediction procedure ： ウィキペディア英語版 Stochastic prediction procedure In probability theory and statistics, a stochastic prediction procedure is based on a Bernoulli space and may be used to make predictions under specific conditions. In contrast to a prediction obtained in traditional science, predictions obtained by means of a stochastic predíction procedure〔Elart von Collani (ed.), ''Defining the Science of Stochastics'', Heldermann Verlag, Lemgo, 2004.〕 meet a given reliability requirement and are optimal with respect to accuracy. A prediction procedure refers to a random variable ''X'' and predicts future events for ''X'' depending on the initial conditions or more precisely said on what is known about the initial conditions. ==Mathematical formulation== A stochastic prediction procedure is a mathematical function〔Elart von Collani, The Need for a Standard for Making Predictions, ''Economic Quality Control'', Vol. 23, 287–299, 2008.〕 denoted $A^\_X$ defined on sets representing the possible initial conditions and having images that are the predictions. The function $A^\_X$ is derived meeting the following two requirements: * The stochastic prediction procedure $A^\_X$ shall yield predictions which will occur with a probability of at least $\backslash beta$ where $\backslash beta$ is called the reliability level of $A^\_X$. * The stochastic prediction procedure $A^\_X$ shall yield predictions with optimal accuracy, where accuracy is defined by the size of the prediction. The mathematical task consists of deriving a function $A\_X^$ which meets the above formulated two requirements. 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「Stochastic prediction procedure」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.