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Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic
Multiple Time Series Models
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Many analyses of time series data involve multiple, related variables. Modeling Multiple Time Series presents many specification choices and special challenges.
Practical Time Series Analysis
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Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare,
Forecasting, Structural Time Series Models and the Kalman Filter
Language: en
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Authors: Andrew C. Harvey
Categories: Business & Economics
Type: BOOK - Published: 1990 - Publisher: Cambridge University Press

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A synthesis of concepts and materials, that ordinarily appear separately in time series and econometrics literature, presents a comprehensive review of theoreti
Time Series Models for Business and Economic Forecasting
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With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares student