This paper revisits interval-valued fuzzy regression and proposes a new unified framework to address type-1 type-2 models. The focuses on two main objectives. First, some philosophical methodological reflections about (IV-T1FR) (IV-T2FR) are discussed analyzed. These aim at positioning avoid misinterpretations that may sometimes lead erroneous or ambiguous considerations in practical applicatio...

SUMMARY The object of the present investigation is to consider a robust procedure for the problem of providing a bounded-length confidence interval for the regression coefficient (in a simple regression model) based on Kendall's (1955) tau. The problem of estimating the difference in the location parameters in the two-sample case may be viewed as a special case of our problem. It is shown that ...

This paper considers estimation of a fixed-effects model with an interval-censored dependent variable. In each time period, the researcher observes the interval (with known endpoints) in which the dependent variable lies but not the value of the dependent variable itself. Two versions of the model are considered, a parametric model with logistic errors and a semiparametric model with errors hav...

In a recent paper, Kooperberg, Stone, and Truong (1995a) introduced hazard regression (HARE), in which linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates. Model selection is carried out in an adaptive fashion using maximum likelihood estimation of the unknown coefficients...