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2015 | 3 | 1 |
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A theory for non-linear prediction approach in the presence of vague variables: with application to BMI monitoring

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