Forecasting principles and practice

This book PDF is perfect for those who love Business & Economics genre, written by Rob J Hyndman and published by OTexts which was released on 08 May 2018 with total hardcover pages 380. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Forecasting principles and practice books below.

Forecasting principles and practice

Author	: Rob J Hyndman
File Size	: 47,7 Mb
Publisher	: OTexts
Language	: English
Release Date	: 08 May 2018
ISBN	: 9780987507112
Pages	: 380 pages

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Forecasting principles and practice by Rob J Hyndman Book PDF Summary

Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. 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.

Forecasting principles and practice by Rob J Hyndman,George Athanasopoulos

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Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and

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Time-series analysis is an area of statistics which is of particular interest at the present time. Time series arise in many different areas, ranging from marketing to oceanography, and the analysis of such series raises many problems of both a theoretical and practical nature. I first became interested in the

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This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligence methods for time series, dimensionality reduction and similarity measures, econometric models, energy time series forecasting,

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