Improved model checking methods for parametric models with responses missing at random

DOI10.1016/j.jmva.2016.11.003zbMath1352.62040OpenAlexW2550982572MaRDI QIDQ730434

Feifei Chen, Zhi-Hua Sun, Qing-Zhao Zhang, Xiao-Hua Andrew Zhou

Publication date: 28 December 2016

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2016.11.003

zbMATH Keywords

projectionempirical processmodel checkingmissing at randomhigh dimensional covariates

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Asymptotic properties of parametric tests (62F05)

Related Items (5)

Consistent model check of errors-in-variables varying-coefficient model with auxiliary variable ⋮ Multidimensional specification test based on non-stationary time series ⋮ Projection-based consistent test for linear regression model with missing response and covariates ⋮ Goodness-of-fit tests for quantile regression with missing responses ⋮ Consistent model checking procedures for parametric regressions with missing response

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Consistent model specification tests
• A CONSISTENT DIAGNOSTIC TEST FOR REGRESSION MODELS USING PROJECTIONS
• Breaking the curse of dimensionality in nonparametric testing
• A consistent test of functional form via nonparametric estimation techniques
• An updated review of goodness-of-fit tests for regression models
• Using local linear kernel smoothers to test the lack of fit of nonlinear regression models
• Consistent test of error-in-variables partially linear model with auxiliary variables
• Checking nonparametric component for partial linear regression model with missing response
• Model checking for partially linear models with missing responses at random
• Bootstrap procedures under some non-i.i.d. models
• Comparing nonparametric versus parametric regression fits
• Nonparametric model checks for regression
• Jackknife, bootstrap and other resampling methods in regression analysis
• Checking the adequacy of a general linear model with responses missing at random
• Model checking for parametric regressions with response missing at random
• Nonparametric check for partial linear errors-in-covariables models with validation data
• Integrated conditional moment test for partially linear single index models incorporating dimension-reduction
• Model-Checking Techniques Based on Cumulative Residuals
• Bootstrap Approximations in Model Checks for Regression
• Model Checks for Generalized Linear Models
• Goodness-of-fit tests for linear regression models with missing response data
• A maximum smoothed likelihood estimator in the current status continuous mark model

This page was built for publication: Improved model checking methods for parametric models with responses missing at random