Assessing Accuracy of Statistical Inferences by Resamplings

DOI10.1007/978-0-8176-4971-5_14zbMath1407.62146OpenAlexW67316833MaRDI QIDQ4562199

Yu. K. Belyaev

Publication date: 18 December 2018

Published in: Mathematical and Statistical Models and Methods in Reliability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-8176-4971-5_14

zbMATH Keywords

asymptotic normalityoverparametrisationleast squares estimatorsdistributions of deviationslinear heteroscedastic regressionresampled sums of weighted estimated residualsselection of regression function

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02) Nonparametric statistical resampling methods (62G09)

Uses Software

• bootlib

Cites Work

• Bootstrap, wild bootstrap, and asymptotic normality
• Bootstrap methods: another look at the jackknife
• Jackknife, bootstrap and other resampling methods in regression analysis
• Weakly approaching sequences of random distributions
• Some Theorems on Distribution Functions
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Assessing Accuracy of Statistical Inferences by Resamplings