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OverviewFull Product DetailsAuthor: Rami KrispinPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781788629157ISBN 10: 1788629159 Pages: 448 Publication Date: 31 May 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Introduction to Time Series Analysis and R Working with Date and Time Objects The Time Series Object Working with zoo and xts Objects Decomposition of Time Series Data Seasonality Analysis Correlation Analysis Forecasting Strategies Forecasting with Linear Regression Forecasting with Exponential Smoothing Models Forecasting with ARIMA Models Forecasting with Machine Learning ModelsReviewsAuthor InformationRami Krispin is a data scientist at a major Silicon Valley company, where he focuses on time series analysis and forecasting. In his free time, he also develops open source tools and is the author of several R packages, including the TSstudio package for time series analysis and forecasting applications. Rami holds an MA in Applied Economics and an MS in actuarial mathematics from the University of Michigan—Ann Arbor. Tab Content 6Author Website:Countries AvailableAll regions |