Results 111 to 120 of about 8,657 (149)

Short-Term Power Load Interval Forecasting Based on Nonparametric Bootstrap Errors Sampling

Social Science Research Network, 2021
Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy, and it is a very important task to forecast the power load accurately and reliably.
Ling Xiao, Miaotong Li, Shenghui Zhang
semanticscholar   +1 more source

A nonparametric approach to confidence intervals for concordance index and difference between correlated indices

Journal of Biopharmaceutical Statistics, 2022
Concordance refers to the probability that subjects with high values on one variable also have high values on another variable. This index has wide application in practice, as a measure of effect size in group-comparison studies, an index of accuracy in ...
G. Zou, Emma Smith, V. Jairath
semanticscholar   +1 more source

Better nonparametric confidence intervals via robust bias correction for quantile regression

Stat, 2021
In this article, we revisit the problem of how to construct better nonparametric confidence intervals for the conditional quantile function from an optimization perspective.
Shaojun Guo, Yu Han, Qingsong Wang
semanticscholar   +1 more source

A Robust Nonparametric Yeo- Johnson- Transformation- Based Confidence Interval for Quantiles of Skewed Distributions

مجلة جامعة الإسکندریة للعلوم الإداریة
The main goal of this paper is to introduce a new robust nonparametric confidence interval for population quantiles. To achieve this goal, a robustified version of an exact equal-tailed two-sided confidence interval for normal quantiles is first ...
Labiba Hassab Elnaby Alatar, Fatma Gaber Abdelaty, Mohammad Ibrahim Soliman Gaafar   +2 more
semanticscholar   +1 more source

Bootstrap confidence interval estimation in generalized nonlinear models

Communications in statistics. Simulation and computation
The excess relative risk (ERR) model is a statistical model commonly used in radiation epidemiology to estimate the increased risk of cancer associated with radiation exposure.
Haesu Jeong, Young Min Kim, Y. Bang, Songwon Seo, Won Jin Lee   +4 more
semanticscholar   +1 more source

Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks

arXiv.org
This paper addresses the problems of conditional variance estimation and confidence interval construction in nonparametric regression using dense networks with the Rectified Linear Unit (ReLU) activation function.
Carlos Misael Madrid Padilla, Oscar Hernan Madrid Padilla, Yik Lun Kei, Zhi Zhang, Yanzhen Chen   +4 more
semanticscholar   +1 more source