Analysis of time series is part of statistical analysis concerning data which consecutively appear in time, space or both. Examples of such series of data are the daily price of stocks, monthly rainfall in a certain location, hourly blood pressure of a patient, etc. In this book, methods are presented for finding the probabilistic rules governing the series and predicting their future values with some dgrees of uncertainty.