Visualizing uncertainty: On Soyer’s and Hogarth’s “The illusion of predictability: How regression statistics mislead experts”
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S&H recommend visual presentation and Ziliak adds support.
“S&H recommend visual presentation - and Ziliak (2012) adds support.”
From Illusions in Regression Analysis (2011) · cites this paper as Ziliak (2012)
Cites
The general theory of employment
Keynes, J. M. (1937) · The Quarterly Journal of Economics · doi:10.2307/1882087 · Cited by 5,173 · see citing works
The visual display of quantitative information
(1985) · General Pharmacology The Vascular System · doi:10.1016/0306-3623(85)90230-7 · Cited by 5,090 · see citing works
The black swan: the impact of the highly improbable
(2007) · Choice Reviews Online · doi:10.5860/choice.45-1430 · Cited by 3,456 · see citing works
The Visual Display of Quantitative Information.
Fayers, P. M., & Tufte, E. R. (1990) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983122 · Cited by 1,950 · see citing works
Bayesian statistical inference for psychological research.
Edwards, W., Lindman, H., & Savage, L. J. (1963) · Psychological Review · doi:10.1037/h0044139 · Cited by 1,734 · see citing works
The Visual Display of Quantitative Information
Mulrow, E. (2002) · Technometrics · doi:10.1198/tech.2002.s78 · Cited by 1,546 · see citing works
The cult of statistical significance: how the standard error costs us jobs, justice, and lives
(2008) · Choice Reviews Online · doi:10.5860/choice.46-0372 · Cited by 716 · see citing works
“STUDENT” (1927) · Biometrika · doi:10.1093/biomet/19.1-2.151 · Cited by 133 · see citing works
Picturing knowledge: historical and philosophical problems concerning the use of art in science
Baigrie, B. S. (1997) · Choice Reviews Online · doi:10.5860/choice.34-3280 · Cited by 122 · see citing works
Karl Pearson: the scientific life in a statistical age
Pearson, K., Cohen, I. B., Norton, W. W., & Porter, T. M. (2004) · Choice Reviews Online · doi:10.5860/choice.42-0272 · Cited by 110 · see citing works
Statistical Visions in Time: A History of Time Series Analysis 1662-1938
DSS, & Klein, J. L. (1999) · Journal of the American Statistical Association · doi:10.2307/2669730 · Cited by 99 · see citing works
Looking into pictures: An interdisciplinary approach to pictorial space.
Hecht, H., Schwartz, R. J., & Atherton, M. (2003) · Cited by 93 · see citing works
:Karl Pearson: The Scientific Life in a Statistical Age
Turner, F. M. (2005) · The American Historical Review · doi:10.1086/ahr.110.3.872 · Cited by 89 · see citing works
The illusion of predictability: How regression statistics mislead experts
Soyer, E., & Hogarth, R. M. (2012) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2012.02.002 · Cited by 84 · see citing works
Student (1927) · Biometrika · doi:10.2307/2332181 · Cited by 82 · see citing works
'Student': A Statistical Biography of William Sealy Gosset.
Kemp, C. D., Pearson, E. S., Plackett, R. L., & Barnard, G. A. (1992) · Biometrics · doi:10.2307/2532762 · Cited by 81 · see citing works
9. Visual Models and Scientific Judgment
Giere, R. N. (1996) · University of Toronto Press eBooks · doi:10.3138/9781442678477-011 · Cited by 66 · see citing works
Retrospectives: Guinnessometrics: The Economic Foundation of “Student's” t
Ziliak, S. T. (2008) · The Journal of Economic Perspectives · doi:10.1257/jep.22.4.199 · Cited by 43 · see citing works
Self-citationThe problem is beyond psychology: The real world is more random than regression analyses
Taleb, N. N., & Goldstein, D. G. (2012) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2012.02.003 · Cited by 26 · see citing works
Statistics, Econometrics and Forecasting
Zellner, A. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511493188 · Cited by 20 · see citing works
On Methods of Ascertaining Variations in the Rate of Births, Deaths, and Marriages
Edgeworth, F. Y. (1885) · Journal of the Statistical Society of London · doi:10.2307/2979201 · Cited by 13 · see citing works
WHY DID MARSHALL TRANSPOSE THE AXES
Gordon, S. P. (1982) · RePEc: Research Papers in Economics · Cited by 12 · see citing works
Statistics, Econometrics and Forecasting
Leippold, M. (2005) · Journal of the American Statistical Association · doi:10.1198/jasa.2005.s49 · Cited by 4 · see citing works
Flagged first, then by citations
2 of the 25 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Illusions in regression analysis
Armstrong, J. S. (2012) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2012.02.001 · Cited by 327 · see citing works
Significance testing in empirical finance: a critical review and assessment
Kim, J. H., & Ji, P. I. (2015) · Journal of Empirical Finance · doi:10.1016/j.jempfin.2015.08.006 · Cited by 86 · see citing works
Illusions in Regression Analysis
Armstrong, J. S. (2011) · doi:10.2139/ssrn.1969740 · Cited by 73 · see citing works
MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis
Kale, A. M., Lee, S., Goan, T., Tipton, E., & Hullman, J. R. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580869 · Cited by 7 · see citing works
On The Change of Cost Risk and Uncertainty throughout the Life Cycle of Manufacturing Products
Schwabe, O., Erkoyuncu, J. A., & Shehab, E. (2019) · Procedia CIRP · doi:10.1016/j.procir.2020.01.004 · Cited by 4 · see citing works
Soyer, E., & Hogarth, R. M. (2012) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2012.02.006 · Cited by 2 · see citing works
Big and Lean is Beautiful: A Conceptual Framework for Data-based Learning in Marketing Management
Soyer, E., Pauwels, K. H., & Seggie, S. H. (2019) · Review of Marketing Research · doi:10.1108/s1548-643520190000016006 · Cited by 1 · see citing works
Econometrics and decision making: Effects of communication of results
Soyer, E. (2012) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
- Authors
- Ziliak, S. T.
- Affiliations
- Roosevelt University (US)
- Corresponding author
- Ziliak, Stephen T.
- ORCID
- Ziliak, Stephen T.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 28
- Issue
- 3
- Pages
- 712-714
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W3125624423
- Cited by
- 8
- References
- 25
- Citations by year
- 2023: 1 · 2019: 2 · 2015: 1 · 2012: 3
- FWCI
- 1.32
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- International Journal of Forecasting (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
- Keywords
- graphing, R-squared, t-statistic, statistical significance testing, Karl Pearson
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