Birnbaum–Saunders frailty regression models: Diagnostics and application to medical data

Matemáticas

• Regression Diagnostics 100%
• Model Diagnostics 95%
• Local Influence 89%
• Frailty Model 85%
• Covariates 56%
• Regression Model 54%
• Methodology 48%
• Environmental Factors 47%
• Normal Curvature 45%
• Frailty 42%
• Survival Model 40%
• Anomaly 38%
• Survival Time 37%
• Maximum Likelihood Method 35%
• Censored Data 34%
• Random Effects 33%
• Lifetime 33%
• Diagnostics 33%
• Outlier 32%
• Regression 25%
• Perturbation 22%
• Model 21%
• Estimate 15%

Economía y empresa

• Frailty 87%
• Local Influence 67%
• Diagnostics 62%
• Regression Model 54%
• Covariates 44%
• Maximum Likelihood 34%
• Censored Data 32%
• Survival Model 31%
• Outliers 30%
• Curvature 27%
• Perturbation 25%
• Random Effects 23%
• Methodology 22%
• Anomaly 21%
• Environmental Factors 21%
• Factors 7%