Introduction to Time Series and Forecasting
Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and...
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| Other Authors: | , |
| Format: | Electronic |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2002.
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| Series: | Springer Texts in Statistics,
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| Subjects: | |
| Online Access: | View fulltext via EzAccess |