Book Description

Part 1 - Time series modeling 1. Chapter 1 - Time series data 3. Chapter 2 - Manipulating time series data 19. Chapter 3 - Autoregressive models 35. Chapter 4 - Moving average models 67. Chapter 5 - Stationarity 83. Chapter 6 - Modeling higher order processes 93. Chapter 7 Modeling seasonal time series data 109. Chapter 8 - Seasonal adjustments to time series data 129. Chapter 9 - Modeling with explanatory variables 149. Chapter 10 - Modeling and forecasting multivariate time series 189. Chapter 11 - Spectral Analysis 207. Part 2 - Time series forecasting 223. Chapter 12 - Forecasting using autoregressive models 225. Chapter 13 - Forecasting with exponenting smoothing and moving average models 247. Chapter 14 - Automatic forecasting of seasonal processes 269. Chapter 15 - Advanced forecasting of seasonal processes 285. Part 3 - Financial reporting and loan analysis 307. Chapter 16 - Printing financial reports 309. Chapter 17 - Analyzing loans 327. Part 4 - Appendices 353.