Inference for linear models with dependent errors

Keyphrases

• Asymptotic Normality 50%
• Bahadur Representation 50%
• Block Bootstrap 50%
• Dependent Errors 100%
• Design Matrix 50%
• Finite Sample Performance 50%
• Limiting Distribution 50%
• M-estimator 100%
• Regression Parameters 50%
• Regressor 50%
• Response Variable 50%
• Self-normalized 50%
• Self-normalized Statistic 50%
• Simulation Study 50%
• Simulation-based Approach 50%
• Stationary Time Series 100%
• Time Series Errors 50%
• Weakly Dependent 50%

Mathematics

• Approximates 50%
• Asymptotic Normality 50%
• Bootstrapping 50%
• Design Matrix 50%
• Empirical Illustration 50%
• Limiting Distribution 50%
• Linear Models 100%
• M-Estimator 100%
• Real Data 50%
• Regression Parameter 50%
• Regressors 50%
• Response Variable 50%
• Simulation Study 50%
• Stationary Time Series 100%
• Statistics 50%