A Regularization Corrected Score Method for Nonlinear Regression Models with Covariate Error

Keyphrases

• Logistic Regression 100%
• Nonlinear Regression Model 100%
• Corrected Score 100%
• Harvard 50%
• Regression Analysis 50%
• Explanatory Variables 50%
• Theoretical Properties 50%
• Poisson Regression 50%
• Physical Activity 50%
• Approximate Solution 50%
• Nonlinear Regression 50%
• Linear Regression 50%
• Breast Cancer Diagnosis 50%
• Integral Equations 50%
• Breast Cancer Mortality 50%
• Regression Coefficient 50%
• Point Estimate 50%
• Regularization Method 50%
• Measurement Error Model 50%
• Functional Method 50%
• Likelihood Model 50%
• Regression Logistic 50%
• Interval Estimates 50%
• Nurses' Health Study 50%
• Adjusting for Covariates 50%

Mathematics

• Regularization 100%
• Covariate 100%
• Nonlinear Regression Model 100%
• Logistic Regression 66%
• Approximates 33%
• Integral Equation 33%
• Explanatory Variable 33%
• Linear Regression 33%
• Regression Analysis 33%
• Poisson Regression 33%
• Interval Estimate 33%
• Approximate Solution 33%
• Measurement Error 33%
• Point Estimate 33%
• Regression Coefficient 33%
• Nonlinear Regression 33%
• Model Likelihood 33%