Structured data analysis (statistics)

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[]

References[]

^ 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.CS1 maint: multiple names: authors list (link)

Further reading[]

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

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[1] Brigitte Le Roux; Henry Rouanet (2004). Geometric Data Analysis: from Correspondence Analysis to Structured Data Analysis. Springer. ISBN 978-1402022357.

[2] Lawrence J. Hubert, Phipps Arabie, Jacqueline Meulman (2001). Combinatorial Data Analysis: Optimization by Dynamic Programming. SIAM. ISBN 978-0898714784.CS1 maint: multiple names: authors list (link)

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