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

100%

Pourmousa R., Rezapour M., Mashinchi M.

Dependence Modeling

2015

tom 3

nr 1

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.

Ograniczanie wyników

1 Dependence Modeling

1 Mashinchi M.

1 Pourmousa R.

1 Rezapour M.

1 2015

Wyniki wyszukiwania

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