Practical Time Series Forecasting.pdf
Practical Time Series Forecasting false
By:Galit Shmueli
Published on 2016-07-11 by
PRACTICAL TIME SERIES FORECASTING is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting, known as forecasting analytics, is an important component of decision making in a wide range of areas and across many business functions including economic forecasting, workload projections, sales forecasts, and transportation demand. Forecasting is also widely used in automated applications such as forecasting flight delays, web keyword search volume, and weather. Forecasting is heavily used in many areas outside of business, such as in demography and climatology. This book introduces readers to the most popular statistical models and data mining algorithms used in practice. It covers issues relating to different steps of the forecasting process, from goal definition through data collection, visualization, pre-processing, modeling, performance evaluation to implementation and communication. The third edition offers improved organization, updated software screenshots, and additional material.PRACTICAL TIME SERIES FORECASTING is suitable for courses on forecasting at the upper-undergraduate and graduate levels, and in professional business analytics and data science programs. It offers clear explanations, examples, end-of-chapter problems and cases. Methods are illustrated using XLMiner®, an Excel® add-on. However, any software that has time series forecasting capabilities can be used with the book. For R users, an R edition of this textbook is also available.
This Book was ranked at 5 by Google Books for keyword Forecasting.
Book ID of Practical Time Series Forecasting's Books is GSr3vQAACAAJ, Book which was written byGalit Shmuelihave ETAG "k3dh313or7Q"
Book which was published by since 2016-07-11 have ISBNs, ISBN 13 Code is 9780991576661 and ISBN 10 Code is 0991576667
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