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£121.88
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Springer Seasonal Adjustment and Trend-Cycle Estimation Book
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Description
Key Features
Covers essential seasonal adjustment methods including X12ARIMA, TRAMO-SEATS, and STAMP used by statistical agencies.
Includes real-world cases and real data examples to illustrate various statistical methods throughout the text.
Explores trend-cycle estimation through nonparametric techniques like moving averages and linear filters.
Integrates recent advances in reproducing kernel Hilbert spaces for advanced trend-cycle estimation.
Published by Springer as part of the Statistics for Social and Behavioral Sciences series.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3319811274
- Domain
- Amazon UK
- Release Date
- 31 May 2018
- Listed Since
- 31 May 2018
Barcode
No barcode data available
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