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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 Multidimensional analysis ： ウィキペディア英語版 Multidimensional analysis In statistics, econometrics, and related fields, multidimensional analysis is a data analysis process that groups data into two or more categories: data dimensions and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single-dimensional (in this case, longitudinal) data set. A data set consisting of the number of wins for several football teams in a single year is also a single-dimensional (in this case, cross-sectional) data set. A data set consisting of the number of wins for several football teams over several years is a two-dimensional data set. In many disciplines, two-dimensional data sets are also called panel data.〔Madalla, G.S., 2001. Introduction to Econometrics, New York: Wiley.〕 While, strictly speaking, two- and higher- dimensional data sets are "multi-dimensional," the term "multidimensional" tends to be applied only to data sets with three or more dimensions.〔Davies, A. and K. Lahiri, 1995. "A new framework for testing rationality and measuring aggregate shocks using panel data." ''Journal of Econometrics'', 68(1), 205-227.〕 For example, some forecast data sets provide forecasts for multiple target periods, conducted by multiple forecasters, and made at multiple horizons. The three dimensions provide more information than can be gleaned from two dimensional panel data sets. ==References== 〔 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「Multidimensional analysis」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.