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

• Autorzy: R. Pourmousa , M. Rezapour , M. Mashinchi
• Języki publikacji: EN

Abstrakty

EN

In the statistical literature, truncated distributions can be used for modeling real data. Due to error of measurement in truncated continuous data, choosing a crisp trimmed point caucuses a fault inference, so using 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. In this paper, we define fuzzy multivariate selection distribution that is an extension of the selection distributions using fuzzy threshold. A practical data set with a fuzzy threshold point is considered to investigate the relationship between high blood pressure and BMI.

Słowa kluczowe

EN

Multivariate selection distribution; Membership function; Fuzzy event

• Wydawca: De Gruyter Open
• Czasopismo: Dependence Modeling
• Rocznik: 2015
• Tom: 3
• Numer: 1

Daty

otrzymano

2015-06-22

zaakceptowano

2015-11-04

online

2015-11-30

Twórcy

autor

R. Pourmousa

• Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of
  Kerman, Kerman, Iran

autor

M. Rezapour

• Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of
  Kerman, Kerman, Iran

autor

M. Mashinchi

• Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of
  Kerman, Kerman, Iran

Bibliografia

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Identyfikatory

DOI

10.1515/demo-2015-0016