James-Stein estimators for time series regression models

Mathematics

• James-Stein Estimator 100%
• Time Series Models 74%
• Least Squares Estimator 70%
• Mean square error 66%
• Stein Estimation 55%
• Regression Model 54%
• Quadratic Loss 43%
• Stationary Gaussian Process 42%
• Shrinkage Estimator 42%
• Estimator 39%
• Error function 38%
• Loss Function 33%
• Regression Coefficient 33%
• Coefficient 33%
• Linear Regression Model 32%
• Numerical Study 31%
• Identically distributed 30%
• Least Squares 29%
• Economics 29%
• Engineering 26%
• Influence 25%
• Sufficient Conditions 16%

Business & Economics

• Regression Model 54%
• Estimator 52%
• Least Squares Estimator 41%
• Shrinkage Estimator 25%
• Coefficients 24%
• Engineering Economics 22%
• Stationary Process 22%
• Regression Coefficient 19%
• Linear Regression Model 18%
• Loss Function 18%
• Least Squares 17%