Lecture notes
Class notes TIME SERIES
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Uploaded on
04-10-2022
Written in
2021/2022
These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENT: - Definition of time series - Components of time series (circular, seasonal, cyclical, irregular/ random, trend) - Application of time series - Methods of fitting trend: free hand, semi-averages, moving averages, least squares methods - Models- additive and multiplicative models - Measurement of seasonal variation using additive and multiplicative models - Forecasting time series value using moving averages, ordinary least squares method and exponential smoothing - Comparison and application of forecasts for different techniques
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Institution
New York University
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Written for
Document information
- Uploaded on
- October 4, 2022
- Number of pages
- 27
- Written in
- 2021/2022
- Type
- Lecture notes
- Professor(s)
- Matthew f stevens
- Contains
- All classes
Subjects
- seasonal
- cyclical
- semi averages
- moving averages
- least squares m
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components of time series circular
-
irregular random
-
trend
-
application of time series
-
methods of fitting trend free hand
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