使用 R 进行时间序列分析和预测
Time Series Analysis and Forecasting using R
- 1. Introduction
- 1. Introduction to Business Analytics Forecasting
- 2. Getting Started
- 1. What is Forecasting
- 2. What is Forecasting Continues
- 3. Methods of Forecasting
- 4. Steps of Forecasting
- 5. Problems with Forecasting
- 3. Simple Forecasting Methods
- 1. Simple Forecasting Methods
- 2. Methods in Simple Forecasting Methods
- 3. Example of Simple Forecasting Methods
- 4. Transformations and Adjustments
- 1. Transformations and Adjustments
- 2. Transformations and Adjustments Example
- 3. Forecasting Accuracy
- 4. Simple Regression in Forecasting
- 5. Simple Regression in Forecasting Continues
- 5. Simple Regression and Multiple Linear Regression
- 1. Example of Simple Regression in Forecasting
- 2. Non Linear Regression
- 3. Forecasting with Regression
- 4. Time Series Regression
- 5. Time Series Regression Continues
- 6. Multiple Linear Regression
- 7. Predictors Forecasting for Formula
- 6. Time Series Decomposition
- 1. Time Series Decomposition
- 2. Time Series Decomposition Continues
- 3. Forecasting with Decomposition
- 4. Exponential Smoothing in Forecasting
- 5. ARIMA Modelling
- 7. Model
- 1. Auto Regressive Model
- 2. Moving Average Model
- 3. Non Seasonal ARIMA
- 4. ACF and PACF plot in Forecasting
- 5. More on ARIMA Modelling
- 6. Seasonal ARIMA Modelling