Statistical demography and forecasting
By J. Alho, Bruce D. Spencer. 2005
120 citations recorded by the source corpus.
Subfields: Demography, General Health Professions, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/d44050b04bb2110ec8698e2f5fd3bc1fecd553f7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
- Ulrich Gunter
- Nigel Harvey
- Feng Li
- Evangelos Spiliotis
- Massimo Guidolin
- Michael P. Clements
- Konstantinos Nikolopoulos
- Fotios Petropoulos
In General Health Professions
In Management Science and Operations Research
- Fotios Petropoulos
- Rob J Hyndman
- Konstantinos Nikolopoulos
- Nikolaos Kourentzes
- Vassilios Assimakopoulos
- Spyros Makridakis
- Evangelos Spiliotis
- Christoph Bergmeir
Citations in the corpus
- Forecasting: theory and practice (2020, methodology): “ariables; thus, it is attractive in terms of interpretability (Gutterman and Vanderhoof, 1998). In the extrapolation approach, many parametric and nonparametric methods have been proposed (see, e.g., Alho and Spencer, 2005; Hyndman and Ullah, 2007; Shang et al., 2011). Among the parametric methods, ”
- MAPE-R: a rescaled measure of accuracy for cross-sectional subnational population forecasts (2011, methodology): “As such, they are natural measures to use in many forecast error evaluations that use regression-based and statistical methods (Alho and Spencer 2005; Pflaumer 1988; Swanson 2008; Swanson and Beck 1994).”