Useful Links
1. Introduction to Time Series
2. Foundational Concepts and Data Preparation
3. Descriptive Analysis and Decomposition
4. Stationarity and Unit Root Analysis
5. Autocorrelation and Dependence Structure
6. Classical Forecasting Methods
7. ARIMA Modeling
8. Seasonal ARIMA Models
9. Advanced Univariate Models
10. Volatility Modeling
11. Multivariate Time Series
12. State Space Models and Kalman Filtering
13. Machine Learning for Time Series
14. Forecasting Evaluation and Model Selection
15. Practical Forecasting Considerations
16. Software and Implementation
  1. Statistics

Time Series Analysis

1. Introduction to Time Series
2. Foundational Concepts and Data Preparation
3. Descriptive Analysis and Decomposition
4. Stationarity and Unit Root Analysis
5. Autocorrelation and Dependence Structure
6. Classical Forecasting Methods
7. ARIMA Modeling
8. Seasonal ARIMA Models
9. Advanced Univariate Models
10. Volatility Modeling
11. Multivariate Time Series
12. State Space Models and Kalman Filtering
13. Machine Learning for Time Series
14. Forecasting Evaluation and Model Selection
15. Practical Forecasting Considerations
16. Software and Implementation
  1. Seasonal ARIMA Models
    1. Seasonal Patterns in Data
      1. Identifying Seasonality
        1. Seasonal Differencing
          1. Seasonal Unit Roots
          2. SARIMA Model Structure
            1. Notation (p,d,q)(P,D,Q)s
              1. Non-Seasonal Components
                1. Seasonal Components
                  1. Seasonal Period
                  2. Model Identification
                    1. Seasonal ACF and PACF
                      1. Combined Pattern Recognition
                        1. Model Selection Strategies
                        2. Estimation and Diagnostics
                          1. Parameter Estimation
                            1. Seasonal Residual Analysis
                              1. Model Validation
                              2. Forecasting with SARIMA
                                1. Seasonal Forecast Generation
                                  1. Long-Term Forecasting
                                    1. Seasonal Prediction Intervals
                                    2. Special Cases
                                      1. Airline Model
                                        1. Seasonal Random Walk
                                          1. Multiplicative Seasonal Models

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                                        9. Advanced Univariate Models

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