Forecasting pdf epub mobi txt 电子书 下载 2024


Forecasting

简体网页||繁体网页
Rob J Hyndman
OTexts; 2 edition
2018-5-6
382
USD 75.00
Paperback
9780987507112

图书标签: 时间序列  R  统计  统计与计量  经济学  数据分析  教材  计算机   


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发表于2024-12-26

Forecasting epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Forecasting epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Forecasting pdf epub mobi txt 电子书 下载 2024



图书描述

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.

Forecasting 下载 mobi epub pdf txt 电子书

著者简介

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


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Forecasting pdf epub mobi txt 电子书 下载
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用户评价

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看完了网页版图书,优点是简单易懂,重逻辑,重实际操作。不过也需要读者有一定的统计基础。很多细节没有深挖,需要读者自行研究。偶尔有错,比如SEATS的第一个S不是Seasonal,而是Signal.

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配合data camp上Forecasting Using R的课一起服用效果更佳,都是forecast那个package的作者亲自来讲

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哇 这本书让我看得贼有兴趣了!

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扫过一遍,思路清晰,入门必备。

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扫过一遍,思路清晰,入门必备。

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