Professor Rob J Hyndman (1967-) is an Australian statistician currently based at Monash University, Melbourne, Australia. He is best-known for his work in statistical forecasting, and is Editor-in-Chief of the International Journal of Forecasting. In 2007, he won the Moran medal from the Australian Academy of Science for his contributions to research in statistics. Further information is available on his website: robjhyndman.com
Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience. In this second edition, all chapters have been updated to cover the latest research and forecasting methods. Three new chapters have been added on dynamic regression forecasting, hierarchical forecasting and practical forecasting issues. The latest version of the book is freely available online at http://OTexts.com/fpp2.
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伴著還沒齣版的 3ed 和還在開發的 新 package fable上完這門課瞭 不得不驚嘆 這個包真的太好用瞭 書也寫的很淺顯 更主要是 Rob 實在是太 nice 瞭 非常有魅力 (以及 final project 時候解答那些問題真的好耐心 但是現在 ETS 還是沒特彆懂(my bad
评分理論淺顯,實踐豐富
评分時間序列數據分析與預測,一刷完成。近期得再來二刷一次。
评分掃過一遍,思路清晰,入門必備。
评分時間序列數據分析與預測,一刷完成。近期得再來二刷一次。
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