Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend

By H. Grubb, A. Mason. 2001

101 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f9096073ebbffe1971ae9092baec3c3f4eae56bf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. G. Crouch
2. Bo Peng
3. J. De Gooijer
4. Haiyan Song
5. Rob J Hyndman
6. José D. Bermúdez
7. Elton Fernandes
8. Enriqueta Vercher

In Management Science and Operations Research

1. J. De Gooijer
2. Haiyan Song
3. José D. Bermúdez
4. Enriqueta Vercher
5. José Vicente Segura
6. Bo Peng
7. Rob J Hyndman
8. G. Crouch

In Renewable Energy, Sustainability and the Environment

1. Bo Peng
2. G. Crouch
3. José D. Bermúdez
4. Rob J Hyndman
5. Elton Fernandes
6. Enriqueta Vercher
7. J. De Gooijer
8. Haiyan Song

Citations in the corpus

• Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures (2011, unknown): “…attempted to develop models suitable for forecasting air traffic flows, including Abed, Ba-Fail, and Jasimuddin (2001), Anderson and Kraus (1980), Fridström and ThuneLarsen (1989), Grubb and Mason (2001), Ippolito (1981), Jorge-Calderon (1997), Kaemmerle (1991), Matsumoto (2004) and Young (1972).”
• 25 Years of IIF Time Series Forecasting: A Selective Review (2005, background): “There have, of course, been numerous studies applying exponential smoothing methods in various contexts including computer components (Gardner, 1993), air passengers (Grubb & Masa, 2001) and production planning (Miller & Liberatore, 1993).”
• 25 years of time series forecasting (2006, background): “There have, of course, been numerous studies applying exponential smoothing methods in various contexts including computer components (Gardner, 1993), air passengers (Grubb & Masa, 2001) and production planning (Miller & Liberatore, 1993).”
• Holt–Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data (2007, methodology): “Following a common approach to dealing with this type of seasonality, Grubb & Mason (2001) consider a power transformation (Box & Cox, 1964) to make both the seasonality and the random component additive.”
• SARIMA modelling approach for railway passenger flow forecasting (2016, background): “For example, Grubb and Mason (2001) estimated a very long time series about air passenger traffic using Holt– Winters forecasting methods.”
• The causal relationship between GDP and domestic air passenger traffic in Brazil (2010, background): “The literature in general lacks any analysis of the properties of air transport historical time series, with the exception of studies using univariate time series to estimate demand (Grubb and Mason 2001 , Fernandes and Pacheco 2006 , Bermudez et al .”
• A meta-analysis of international tourism demand forecasting and implications for practice (2014, methodology): “Grubb and Mason (2001) prove that adding a damped trend to Holt-Winter’s method greatly improves long-run forecasts compared with the Box-Jenkins and BSM in the case of UK air passengers.”