num_pages: 437
description: This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills. Statisticians and students will learn the latest methods in time series and forecasting, along with modern computational models and algorithms.
language: English
title: Introduction to Time Series and Forecasting
titlecomplete: Introduction to Time Series and Forecasting (Springer Texts in Statistics)
genres: Mathematics, Nonfiction
ratings_count: 37
publisher: Springer