Global statistical inference for the difference between two regression mean curves with covariates possibly partially missing

DOI10.1007/s00362-020-01208-xzbMath1484.62044OpenAlexW3091272076MaRDI QIDQ2062402

Suojin Wang, Li Cai

Publication date: 27 December 2021

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-020-01208-x

zbMATH Keywords

Gaussian processsimultaneous confidence bandweighted local linear regressioncovariates missing at random

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric tolerance and confidence regions (62G15)

Related Items (2)

Measuring, Testing, and Identifying Heterogeneity of Large Parallel Datasets ⋮ Simultaneous confidence bands and global inferences for extended partially linear single-index models

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An updated review of goodness-of-fit tests for regression models
• Two-sample empirical likelihood method for difference between coefficients in linear regression model
• Simultaneous confidence intervals on partial means of classes in the two-stage stratified sampling
• A smooth simultaneous confidence band for conditional variance function
• Kernel regression estimation for incomplete data with applications
• Construction of simultaneous confidence bands for a percentile hyper-plane with predictor variables constrained in an ellipsoidal region
• Tests for the equality of conditional variance functions in nonparametric regression
• Simultaneous nonparametric inference of time series
• Extremes and related properties of random sequences and processes
• On confidence bands in nonparametric density estimation and regression
• Asymptotic maximal deviation of M-smoothers
• Probabilities of maximal deviations for nonparametric regression function estimates
• Nonparametric comparison of several regression functions: Exact and asymptotic theory
• Bootstrap confidence bands for regression curves and their derivatives
• A two-sample test for the error distribution in nonparametric regression based on the characteristic function
• Oracally efficient estimation for dense functional data with holiday effects
• Comparison of nonlinear curves and surfaces
• On some global measures of the deviations of density function estimates
• Bootstrap simultaneous error bars for nonparametric regression
• Two-sample tests based on empirical Hankel transforms
• Simultaneous inference for the mean function based on dense functional data
• Comparison of Separable Components in Different Samples
• Oracle-Efficient Confidence Envelopes for Covariance Functions in Dense Functional Data
• Bias-corrected Confidence Bands in Nonparametric Regression
• Confidence Bands in Nonparametric Regression
• Weighted Semiparametric Estimation in Regression Analysis With Missing Covariate Data
• SIMULTANEOUS CONFIDENCE BANDS FOR MEAN AND VARIANCE FUNCTIONS BASED ON DETERMINISTIC DESIGN
• Simultaneous Inference of Linear Models with Time Varying Coefficients
• Adaptive Confidence Bands for Nonparametric Regression Functions
• Inference of Trends in Time Series
• A Non‐parametric <scp>ANOVA</scp>‐type Test for Regression Curves Based on Characteristic Functions
• Spline confidence bands for variance functions
• Remarks on a Multivariate Transformation

This page was built for publication: Global statistical inference for the difference between two regression mean curves with covariates possibly partially missing