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A theory for non-linear prediction approach in the presence of vague variables: with application to BMI monitoring

A theory for non-linear prediction approach in the presence of vague variables: with application... AbstractIn the statistical literature, truncated distributions can be used for modeling real data. Due to errorof measurement in truncated continuous data, choosing a crisp trimmed point caucuses a fault inference, sousing fuzzy sets to define a threshold pointmay leads us more efficient results with respect to crisp thresholds.Arellano-Valle et al. [2] defined a selection distribution for analysis of truncated data with crisp threshold. Inthis paper, we define fuzzy multivariate selection distribution that is an extension of the selection distributionsusing fuzzy threshold. A practical data set with a fuzzy threshold point is considered to investigate therelationship between high blood pressure and BMI. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Dependence Modeling de Gruyter

A theory for non-linear prediction approach in the presence of vague variables: with application to BMI monitoring

Dependence Modeling , Volume 3 (1): 1 – Nov 30, 2015

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Publisher
de Gruyter
Copyright
© 2015 R. Pourmousa et al.
ISSN
2300-2298
eISSN
2300-2298
DOI
10.1515/demo-2015-0016
Publisher site
See Article on Publisher Site

Abstract

AbstractIn the statistical literature, truncated distributions can be used for modeling real data. Due to errorof measurement in truncated continuous data, choosing a crisp trimmed point caucuses a fault inference, sousing fuzzy sets to define a threshold pointmay leads us more efficient results with respect to crisp thresholds.Arellano-Valle et al. [2] defined a selection distribution for analysis of truncated data with crisp threshold. Inthis paper, we define fuzzy multivariate selection distribution that is an extension of the selection distributionsusing fuzzy threshold. A practical data set with a fuzzy threshold point is considered to investigate therelationship between high blood pressure and BMI.

Journal

Dependence Modelingde Gruyter

Published: Nov 30, 2015

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