Abstract
Time series are series in which some quantity or variable varies with respect to time intervals (in the form of months, weeks, days, hours, etc.). This basically implies that the future value of a particular variable is in some way related to its present value as well as to the time interval difference.
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© 2012 Springer Science+Business Media New York
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Ohri, A. (2012). Forecasting and Time Series Models. In: R for Business Analytics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4343-8_9
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DOI: https://doi.org/10.1007/978-1-4614-4343-8_9
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