Incoherence correction strategies in statistical matching

Several economic applications require to consider different data sources and to integrate the information coming from them. This paper focuses on statistical matching, in particular we deal with incoherences. In fact, when logical constraints among the variables are present incoherencies on the prob...

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Bibliographic Details
Published in:International journal of approximate reasoning 2012-11, Vol.53 (8), p.1124-1136
Main Authors: Brozzi, Alessandro, Capotorti, Andrea, Vantaggi, Barbara
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Data processing. List processing. Character string processing
Exact sciences and technology
Incoherence
Inference
Mathematics
Memory organisation. Data processing
Probability and statistics
Probability theory and stochastic processes
Probability theory on algebraic and topological structures
Sciences and techniques of general use
Software
Specialized discrepancy measure
Statistical matching
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Summary:Several economic applications require to consider different data sources and to integrate the information coming from them. This paper focuses on statistical matching, in particular we deal with incoherences. In fact, when logical constraints among the variables are present incoherencies on the probability evaluations can arise. The aim of this paper is to remove such incoherences by using different methods based on distances minimization or least commitment imprecise probabilities extensions. An illustrative example shows peculiarities of the different correction methods. Finally, limited to pseudo distance minimization, we performed a systematic comparison through a simulation study.
ISSN:0888-613X
1873-4731
DOI:10.1016/j.ijar.2012.06.009