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1-4 of 4 results for computationally intensive theory development

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Open accessResearch articleFirst published June, 2025

Guiding computationally intensive theory development with explainable artificial intelligence: The case of shapley additive explanations

Dominik Stoffels, Stefan Faltermaier, Kim Simon Strunk [...]

Journal of Information Technology

Restricted accessResearch articleFirst published July, 2013

How to Win Acceptance of the Inequality Process as Economics?

John Angle

IIM Kozhikode Society & Management Review

Restricted accessResearch articleFirst published October, 2022

Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality

Patrick D. Manapat, Michael C. Edwards

Educational and Psychological Measurement

Restricted accessResearch articleFirst published November, 2023

Survival analysis with a random change-point

Chun Yin Lee, Kin Yau Wong

Statistical Methods in Medical Research

Search results

Articles (4)

Journals (0)

1-4 of 4 results for computationally intensive theory development

Sort by:

Relevance

Select all

Sort by:

Relevance

Open accessResearch articleFirst published June, 2025

Guiding computationally intensive theory development with explainable artificial intelligence: The case of shapley additive explanations

Dominik Stoffels, Stefan Faltermaier, Kim Simon Strunk [...]

Journal of Information Technology

Restricted accessResearch articleFirst published July, 2013

How to Win Acceptance of the Inequality Process as Economics?

John Angle

IIM Kozhikode Society & Management Review

Restricted accessResearch articleFirst published October, 2022

Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality

Patrick D. Manapat, Michael C. Edwards

Educational and Psychological Measurement

Restricted accessResearch articleFirst published November, 2023

Survival analysis with a random change-point

Chun Yin Lee, Kin Yau Wong

Statistical Methods in Medical Research