We consider the problem of nonparametric regression under shape constraints. The main
examples include isotonic regression (with respect to any partial order), unimodal/convex …

Fatigue testing is a crucial technique for assessing the fatigue performance of materials and
components. However, the testing process often involves numerous uncertainties, such as …

We construct√ n-consistent and asymptotically normal estimates for the finite dimensional
regression parameter in the current status linear regression model, which do not require any …

For a period of mission time, only zero‐failure data can be obtained for high‐quality long‐life
products. In the case of zero‐failure data reliability assessment, the point estimates and …

We consider smooth nonparametric estimation of the incubation time distribution of COVID‐
19, in connection with the investigation of researchers from the National Institute for Public …

We construct bootstrap confidence intervals for a monotone regression function. It has been
shown that the ordinary nonparametric bootstrap, based on the nonparametric least squares …

The recent surge of interests in cognitive assessment has led to the development of
cognitive diagnosis models. Central to many such models is a specification of the Q-matrix …

Shape constraints enter in many statistical models. Sometimes these constraints emerge
naturally from the origin of the data. In other situations, they are used to replace parametric …

It has been proved that direct bootstrapping of the nonparametric maximum likelihood
estimator (MLE) of the distribution function in the current status model leads to inconsistent …

Fay and Brittain present statistical hypothesis testing and compatible confidence intervals,
focusing on application and proper interpretation. The emphasis is on equipping applied …