Structured data analysis (statistics) explained

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

• Algebraic data analysis
• Bayesian analysis
• Cluster analysis
• Combinatorial data analysis
• Formal concept analysis
• Functional data analysis
• Geometric data analysis
• Regression analysis
• Shape analysis
• Topological data analysis
• Tree structured data analysis

Further reading

• 10.1090/S0273-0979-09-01249-X . free. Topology and data. 2009. Carlsson. Gunnar. Bulletin of the American Mathematical Society. New Series. 46. 2. 255–308.
• Book: James O. Ramsay . B. W. Silverman . Functional data analysis . Springer . 2005 . 9780387400808.
• Leland Wilkinson, (1992) Tree Structured Data Analysis: AID, CHAID and CART

Notes and References

1. Book: Brigitte Le Roux . Henry Rouanet . Geometric Data Analysis: from Correspondence Analysis to Structured Data Analysis. Springer . 2004 . 978-1402022357.
2. Book: . Combinatorial Data Analysis: Optimization by Dynamic Programming . SIAM . 2001 . 978-0898714784.