Structured data analysis is the statistical data analysis of structured data. This can arise either in the form of an a priori structure such as multiple-choice questionnaires or in situations with the need to search for structure that fits the given data, either exactly or approximately. This structure can then be used for making comparisons, predictions, manipulations etc.[1][2]
Types of structured data analysis
editReferences
edit- ^ Brigitte Le Roux; Henry Rouanet (2004). Geometric Data Analysis: from Correspondence Analysis to Structured Data Analysis. Springer. ISBN 978-1402022357.
- ^ Lawrence J. Hubert, Phipps Arabie, Jacqueline Meulman (2001). Combinatorial Data Analysis: Optimization by Dynamic Programming. SIAM. ISBN 978-0898714784.
{{cite book}}: CS1 maint: multiple names: authors list (link)
Further reading
edit- Carlsson, Gunnar (2009). "Topology and data". Bulletin of the American Mathematical Society. New Series. 46 (2): 255–308. doi:10.1090/S0273-0979-09-01249-X.
- James O. Ramsay; B. W. Silverman (2005). Functional data analysis. Springer. ISBN 9780387400808.
- Leland Wilkinson, (1992) Tree Structured Data Analysis: AID, CHAID and CART
This statistics-related article is a stub. You can help Wikipedia by expanding it. |