- author = "Silvia Riedel",
- title = "Forecast combination in revenue management demand forecasting",
- school = "Bournemouth University",
- year = "2007",
- address = "UK",
- month = aug,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://eprints.bournemouth.ac.uk/9640/",
-
URL = "
http://eprints.bournemouth.ac.uk/9640/1/Riedel%2CSilvia_Ph.D._2008.pdf",
- size = "395 pages",
- abstract = "The domain of multi level forecast combination is a challenging new domain containing a large potential for forecast improvements. This thesis presents a theoretical and experimental analysis of different types of forecast diversification on forecast error covariances and resulting combined forecast quality. Three types of diversification are used: (a) diversification concerning the level of learning (b) diversification of predefined parameter values and (c) the use of different forecast models. The diversification is carried out on forecasts of seasonal factor predictions in Revenue Management for Airlines. After decomposing the data and generating diversified forecasts a (multi step) combination procedure is applied. We provide theoretical evidence of why and under which conditions multi step multi level forecast combination can be a powerful approach in order to build a high quality and adaptive forecast system........",
-
notes = "Mention of GP
ID Code: 9640
Supervisor? Bogdan Gabrys",
