Statsmodels Statistical Analysis

Statistical modeling, hypothesis testing, and time series analysis using statsmodels and pandas.

When to Use

• Linear regression (OLS, GLS, WLS, robust)
• Logistic regression and generalized linear models
• Hypothesis testing (t-tests, ANOVA, chi-squared)
• Time series analysis (ARIMA, VAR, seasonal decomposition)
• Survival analysis and diagnostic plots

When NOT to Use

• Machine learning classification/regression (use scikit-learn)
• Deep learning or neural networks (use PyTorch/TensorFlow)
• Simple descriptive statistics only (use scipy-analysis)

OLS / GLS / WLS Regression