2017
DOI: 10.1007/978-3-319-73150-6_35
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A Convex Combination Method for Quantile Regression with Interval Data

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Cited by 4 publications
(1 citation statement)
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“…Since the dependent variable in the study, producer repayment (Repaymenti), is measured in intervals, we apply interval regression to investigate factors related to producer valuation (Blanco‐Fernández et al., 2011). The interval regression method has been applied in many areas, such as food marketing (Yang et al., 2012), community development (Jeffcoat et al., 2012), capital asset pricing (Chanaim et al., 2018), and analysis of stock return (Fischer et al, 2016). For our purpose, the interval regression model is more appropriate compared with two types of alternative models: multinomial probit/logit models and ordered probit/logit models.…”
Section: Modelmentioning
confidence: 99%
“…Since the dependent variable in the study, producer repayment (Repaymenti), is measured in intervals, we apply interval regression to investigate factors related to producer valuation (Blanco‐Fernández et al., 2011). The interval regression method has been applied in many areas, such as food marketing (Yang et al., 2012), community development (Jeffcoat et al., 2012), capital asset pricing (Chanaim et al., 2018), and analysis of stock return (Fischer et al, 2016). For our purpose, the interval regression model is more appropriate compared with two types of alternative models: multinomial probit/logit models and ordered probit/logit models.…”
Section: Modelmentioning
confidence: 99%