statsmodels
مدل‌سازی آماری و اقتصادسنجی با Statsmodels
این اسکیل Statsmodels را برای برآورد، استنباط و تشخیص در روش‌های آماری مثل رگرسیون، سری زمانی و آزمون فرض پوشش می‌دهد.
چه چیزی می‌گیرید
- رگرسیون
- سری زمانی
- آزمون و تشخیص
برای چه کاری خوب است
- تحلیل آماری
- اقتصادسنجی
برای چه کاری نیست
- یادگیری عمیق
دربارهٔ این اسکیل
Statsmodels: Statistical Modeling and Econometrics
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use This Skill
This skill should be used when:
- Fitting regression models (OLS, WLS, GLS, quantile regression)
- Performing generalized linear modeling (logistic, Poisson, Gamma, etc.)
- Analyzing discrete outcomes (binary, multinomial, count, ordinal)
- Conducting time series analysis (ARIMA, SARIMAX, VAR, forecasting)
- Running statistical tests and diagnostics
- Testing model assumptions (heteroskedasticity, autocorrelation, normality)
- Detecting outliers and influential observations
- Comparing models (AIC/BIC, likelihood ratio tests)
- Estimating causal effects
- Producing publication-ready statistical tables and inference
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.