Statistical Analysis and Model Building

Data Cleaning Procedures

Missing Data Handling

Outlier Detection and Treatment

Exploratory Data Analysis

Graphical Methods

Linear Models

Generalized Linear Models

Nonlinear Models

Parameter Estimation Methods

Maximum Likelihood Estimation

Model Selection Criteria

Variable Selection Methods

Model Validation Techniques

Overfitting Prevention

Residual Analysis

Influence Diagnostics

Leverage and Cook's Distance

Normality Assessment

Homoscedasticity Testing

Independence Verification

Effect Size Interpretation

Practical vs. Statistical Significance

Confidence Intervals

Prediction Intervals

Graphical Presentation

Report Writing