Cited by 78Forecasting Techniques and ApplicationsDecision Support System ApplicationsDecision-Making and Behavioral Economics

Judgmental bootstrapping: Inferring experts' rules for forecasting

Armstrong, J. Scott·2001·International Series in Operations Research & Management Science

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Crossref · 10.1007/978-0-306-47630-3_9

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Decisions based on regression are less likely to be subject to bias, they are consistent, the basis for the decisions can be fully explained and they are generally useful.

    “As a result, decisions based on regression are less likely to be subject to bias, they are consistent, the basis for the decisions can be fully explained and they are generally useful.”

    From Illusions in Regression Analysis (2011) · cites this paper as Armstrong 2001

  • The gains from regression-based decisions are especially well documented when compared to judgmental decisions based on the same data.

    “The gains are especially well documented when compared to judgmental decisions based on the same data (Grove and Meehl 1996; Armstrong 2001).”

    From Illusions in Regression Analysis (2011) · cites this paper as Armstrong 2001

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Authors
Armstrong, J. S.
Affiliations
University of Pennsylvania (US)
Corresponding author
Armstrong, J. Scott
Venue
International Series in Operations Research & Management Science
Publisher
Springer US
Published
2001
Pages
171-192
ISSN
0884-8289 (ISSN-L)
OpenAlex
W1598221548
Cited by
78
References
1
Citations by year
2026: 4 · 2025: 2 · 2024: 1 · 2023: 8 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 3 · 2018: 3 · 2017: 4 · 2016: 3 · 2015: 5 · 2014: 2 · 2013: 6 · 2012: 4
FWCI
8.26
Type
book chapter
Language
en
Open access
closed
Locations
  • International series in management science/operations research/International series in operations research & management science (publishedVersion)
  • ScholarlyCommons (University of Pennsylvania) (submittedVersion)
  • Scholarly Commons (University of Pennsylvania) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
expert forecasting, expert systems, forecast accuracy, time series forecasting, production decisions, judgmental forecasting, forecast bias, econometric models

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