Statistics with R

  1. Introduction to Time Series Analysis
    1. Time Series Concepts
      1. Time Series Data
        1. Temporal Dependence
          1. Stationarity
            1. Trend and Seasonality
            2. Time Series Objects in R
              1. ts Objects
                1. zoo Objects
                  1. xts Objects
                    1. Date and Time Handling
                    2. Time Series Visualization
                      1. Time Plots
                        1. Seasonal Plots
                          1. Lag Plots
                            1. ACF and PACF Plots
                            2. Time Series Decomposition
                              1. Trend Component
                                1. Seasonal Component
                                  1. Irregular Component
                                    1. Additive vs Multiplicative
                                    2. Basic Forecasting
                                      1. Naive Methods
                                        1. Moving Averages
                                          1. Exponential Smoothing
                                            1. ARIMA Models
                                            2. Model Evaluation
                                              1. Forecast Accuracy Measures
                                                1. Cross-validation for Time Series
                                                  1. Residual Analysis

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                                                27. Introduction to Machine Learning