Abstract
Time series analysis is widely utilised in many areas, from business forecasting to the prediction of population sizes of species. Various types of time series models and techniques are studied, ranging from analysis and inference to classification and forecasting. It is important to determine the appropriateness and accuracy of these models and techniques before applying them. This book is devoted to time series data analysis using SAS® Enterprise Guide® (SAS EG). The base SAS® program is widely used at universities, research institutions, government departments, and business sectors in many different areas, both public and private. SAS EG is a point-and-click, menu-driven data analysis software which is driven by the power of SAS. In this first chapter, we will briefly cover:
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The purpose of this book
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The basics of time series data
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An introduction to SAS EG
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Liu, T., Liu, S., Shi, L. (2020). Introduction. In: Time Series Analysis Using SAS Enterprise Guide. SpringerBriefs in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-15-0321-4_1
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DOI: https://doi.org/10.1007/978-981-15-0321-4_1
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