| 书目名称 | Introduction to Time Series and Forecasting |
| 编辑 | Peter J. Brockwell,Richard A. Davis |
| 视频video | |
| 概述 | Designed for use in full-year courses introducing univariate and multivariate time series and forecasting at the advanced undergraduate and graduate levels.Exercise problems at the end of each chapter |
| 丛书名称 | Springer Texts in Statistics |
| 图书封面 |  |
| 描述 | This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user‘s own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details..The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Many additional special topics are also covered..New to this edition:.A chapter devoted to Financial Time Series.Introducti |
| 出版日期 | Textbook 2016Latest edition |
| 关键词 | ITSM2000; Forecasting; Univariate time series; Multivariate time series; Spectral analysis; Financial tim |
| 版次 | 3 |
| doi | https://doi.org/10.1007/978-3-319-29854-2 |
| isbn_ebook | 978-3-319-29854-2Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | Springer Nature Switzerland AG 2016 |
发表于 2025-3-21 16:44:44
