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Multidimensional analysis

In statistics, econometrics and related fields, multidimensional analysis (MDA) is a data analysis process that groups data into two 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.

Higher dimensions edit

In many disciplines, two-dimensional data sets are also called panel data.[1] 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.[2] 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.

Software edit

Computer software for MDA include Online analytical processing (OLAP) for data in relational databases, pivot tables for data in spreadsheets, and Array DBMSs for general multi-dimensional data (such as raster data) in science, engineering, and business.

See also edit

References edit

  1. ^ Maddala, G.S. (2001). Introduction to Econometrics (3rd ed.). Wiley. ISBN 0471497282.
  2. ^ Davies, A.; Lahiri, K. (1995). "A new framework for testing rationality and measuring aggregate shocks using panel data". Journal of Econometrics. 68 (1): 205–227. doi:10.1016/0304-4076(94)01649-K.


multidimensional, analysis, statistics, econometrics, related, fields, multidimensional, analysis, data, analysis, process, that, groups, data, into, categories, data, dimensions, measurements, example, data, consisting, number, wins, single, football, team, e. In statistics econometrics and related fields multidimensional analysis MDA is a data analysis process that groups data into two 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 Contents 1 Higher dimensions 2 Software 3 See also 4 ReferencesHigher dimensions editIn many disciplines two dimensional data sets are also called panel data 1 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 2 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 Software editComputer software for MDA include Online analytical processing OLAP for data in relational databases pivot tables for data in spreadsheets and Array DBMSs for general multi dimensional data such as raster data in science engineering and business See also editMultiDimensional eXpressions MDX Multidimensional panel data Multivariate statistics Dimension data warehouse Dimension tables Data cubeReferences edit Maddala G S 2001 Introduction to Econometrics 3rd ed Wiley ISBN 0471497282 Davies A Lahiri K 1995 A new framework for testing rationality and measuring aggregate shocks using panel data Journal of Econometrics 68 1 205 227 doi 10 1016 0304 4076 94 01649 K nbsp This statistics related article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Multidimensional analysis amp oldid 1118201308, wikipedia, wiki, book, books, library,

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