Abstract
Recording data indexed by time is an old way of collecting data for analysis. The time index data primarily serves the purpose of observing events that have high correlation with time and considerable part of the variance is due to changing times. The introduction to time series analysis will help you understand how to count time-dependent variations.
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© 2019 Karthik Ramasubramanian and Abhishek Singh
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Ramasubramanian, K., Singh, A. (2019). Time Series Modeling. In: Machine Learning Using R. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4215-5_9
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DOI: https://doi.org/10.1007/978-1-4842-4215-5_9
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4214-8
Online ISBN: 978-1-4842-4215-5
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