Forecasting Techniques and Applications

Field	Decision Sciences
Subfield	Management Science and Operations Research
Domain	Social Sciences
OpenAlex	T11918

Smeal faculty

• Saurabh Bansal - score 3.0
• Brent B. Moritz - score 3.0
• James McKeown - score 2.0
• Charles Whiteman - score 2.0
• Duncan K. Fong - score 1.0
• Dan Givoly - score 1.0
• Dennis P. Sheehan - score 1.0

Papers

• Demand Forecasting Behavior: System Neglect and Change Detection (2011) - cites 146
• Chapter 1 Bayesian Forecasting (2006) - cites 129
• The Quality of Analysts’ Forecasts of Earnings (1984) - cites 73
• General-to-specific procedures for fitting a data-admissible, theory-inspired, congruent, parsimonious, encompassing, weakly-exogenous, identified, structural model to the DGP: A translation and critique (1997) - cites 68
• The Incremental Informational Content of Interim Expenses over Interim Sales (1985) - cites 35
• Using Experts’ Noisy Quantile Judgments to Quantify Risks: Theory and Application to Agribusiness (2017) - cites 34
• Time series forecasting models involving power transformations (1984) - cites 29
• Forecast Decisions (2018) - cites 14
• Estimating Uncertainties Using Judgmental Forecasts with Expert Heterogeneity (2020) - cites 11
• RANKING, ESTIMATION AND HYPOTHESIS TESTING IN UNBALANCED TWO-WAY ADDITIVE MODELS - A BAYESIAN APPROACH (1993) - cites 9
• Is it Better to Elicit Quantile or Probability Judgments? A Comparison of Direct and Calibrated Procedures for Estimating a Continuous Distribution (2017) - cites 6
• Deliberate or Intuitive: Decision Speed and Cognitive Reflection in Demand Forecasting Behavior (2011) - cites 5
• Approximating the distributions of some time-series estimators and test statistics (1983) - cites 3