|
|
|
|
| LEADER |
01433 a2200241 4500 |
| 001 |
43905 |
| 005 |
20260407155720.0 |
| 008 |
260407a2016 arg spa d |
| 003 |
AR-UNSa-BCEJYS |
| 040 |
|
|
|a AR-UNSa-BCEJYS
|b spa
|c AR-UNSa-BCEJYS
|
| 080 |
|
|
|a 519.246.8
|x Análisis de series temporales o cronológicas. Autocorrelación. Regresión
|
| 245 |
1 |
0 |
|a Seasonal adjustment methods and real time trend-cycle estimation
|
| 020 |
|
|
|a 978-3-319-31820-2
|
| 264 |
|
1 |
|a Suiza :
|b Springer
|c 2016
|
| 300 |
|
|
|a xvi, 283 p.
|c 24 cm.
|
| 505 |
|
|
|a 1. Introducción - 2. Time series components - 3. Seasonal adjustment: Meaning, Purpose, and methods - 4. Linear filters seasonal adjustment methods: Census method II and its variants - 5. Seasonal adjuntment based on ARIMA model decomposition: TRAMO-SEATS - 6. Seasonal adjuntment based on structural time series models - 7. Trend-cycle estimation - 8. Further developments on the henderson trend-cycle filter - 9. A unified view of trend-cycle predictors in reproducing kernel hilbert spaces (RKHS)- 10. Real time trend-cycle prediction - 11. The efect of seasonal adjustment on Real- time trend-cycle prediction
|
| 041 |
|
|
|a spa
|
| 942 |
|
|
|c BK
|
| 590 |
|
|
|a niveau_biblio:m niveau_hierar:0
|
| 100 |
1 |
|
|a Bee de Dagum, Estela María
|
| 700 |
1 |
|
|a Bianconcini, Silvia
|
| 856 |
4 |
1 |
|u https://biblioeco.unsa.edu.ar/pmb/images/libros/L126777.jpg
|y Imagen de portada
|q image/jpeg
|
| 999 |
|
|
|c 3755
|d 3755
|
