Since growth curves are often used to produce medium-to long-term forecasts for planning purposes, it is obviously of value to be able to associate an interval with the forecast trend. The problems in producing prediction intervals are well described by Chatfield. The additional problems in this con
β¦ LIBER β¦
Empirical Prediction Intervals for County Population Forecasts
β Scribed by Stefan Rayer; Stanley K. Smith; Jeff Tayman
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Weight
- 325 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0167-5923
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Prediction intervals for growth curve fo
β
Nigel Meade; Towhidul Islam
π
Article
π
1995
π
John Wiley and Sons
π
English
β 962 KB
Simultaneous prediction intervals for mu
β
Joseph Glaz; Nalini Ravishanker
π
Article
π
1991
π
Elsevier Science
π
English
β 555 KB
Confidence intervals prediction for the
β
W. Bartkiewicz
π
Article
π
2000
π
Springer
π
English
β 436 KB
Empirical likelihood intervals for the p
β
Ayman Baklizi
π
Article
π
2008
π
Springer
π
English
β 185 KB
Bias-corrected bootstrap prediction inte
β
Jae H. Kim; Haiyan Song; Kevin K. F. Wong
π
Article
π
2010
π
John Wiley and Sons
π
English
β 673 KB
## Abstract This paper proposes the use of the biasβcorrected bootstrap for interval forecasting of an autoregressive time series with an arbitrary number of deterministic components. We use the biasβcorrected bootstrap based on two alternative biasβcorrection methods: the bootstrap and an analytic