Nonparametric shape-restricted regression
A Guntuboyina, B Sen - Statistical Science, 2018 - JSTOR
We consider the problem of nonparametric regression under shape constraints. The main
examples include isotonic regression (with respect to any partial order), unimodal/convex …
examples include isotonic regression (with respect to any partial order), unimodal/convex …
Uncertainty for fatigue life of low carbon alloy steel based on improved bootstrap method
W Su, X Liu, S Xu, J Wang… - Fatigue & Fracture of …, 2023 - Wiley Online Library
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 …
components. However, the testing process often involves numerous uncertainties, such as …
Current status linear regression
P Groeneboom, K Hendrickx - The Annals of Statistics, 2018 - JSTOR
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 …
regression parameter in the current status linear regression model, which do not require any …
Reliability assessment of high‐quality and long‐life products based on zero‐failure data
H Li, L Xie, M Li, J Ren, B Zhao… - Quality and Reliability …, 2019 - Wiley Online Library
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 …
products. In the case of zero‐failure data reliability assessment, the point estimates and …
Estimation of the incubation time distribution for COVID‐19
P Groeneboom - Statistica Neerlandica, 2021 - Wiley Online Library
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 …
19, in connection with the investigation of researchers from the National Institute for Public …
Confidence intervals in monotone regression
P Groeneboom, G Jongbloed - Scandinavian Journal of …, 2024 - Wiley Online Library
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 …
shown that the ordinary nonparametric bootstrap, based on the nonparametric least squares …
Some developments in the theory of shape constrained inference
P Groeneboom, G Jongbloed - 2018 - projecteuclid.org
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 …
naturally from the origin of the data. In other situations, they are used to replace parametric …
The nonparametric bootstrap for the current status model
P Groeneboom, K Hendrickx - 2017 - projecteuclid.org
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 …
estimator (MLE) of the distribution function in the current status model leads to inconsistent …
[图书][B] Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science
MP Fay, EH Brittain - 2022 - books.google.com
Fay and Brittain present statistical hypothesis testing and compatible confidence intervals,
focusing on application and proper interpretation. The emphasis is on equipping applied …
focusing on application and proper interpretation. The emphasis is on equipping applied …