Extrapolation for Time-Series and Cross-Sectional Data
By J. Armstrong, E. J. Scott, Armstrong Kluwer. 2009
740 citations recorded by the source corpus.
Subfields: Applied Mathematics, Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/16c570ba773684702536b41b18c08b3a6f98c01e
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In Applied Mathematics
In Economics and Econometrics
In Management Science and Operations Research
Citations in the corpus
- Judgmental aggregation strategies depend on whether the self is involved (2011, methodology): “Averaging opinions is remarkably robust, and compares favorably to more complex methods of aggregation (Armstrong, 2001; Clemen, 1989; Goodwin & Wright, 1998).”
- A dynamic artificial neural network model for forecasting time series events (2005, methodology): “Guidelines for statistical data pre-processing are discussed in Armstrong (2001) and Makridakis, Wheelwright, and Hadyman (1998).”
- Election Forecasting: Principles and Practice (2005, neutral): “Support for this argument comes from recent evaluations of large-scale econometric models which, along with certain high-tech advances, have not significantly improved macro-economic forecasting in 50 years (Armstrong 2001; Holly and Weale 2000).”