APA (7th ed.) Citation

Kaibel, C., & Biemann, T. (2021). Rethinking the Gold Standard With Multi-armed Bandits: Machine Learning Allocation Algorithms for Experiments. Organizational research methods, 24(1), 78-103. https://doi.org/10.1177/1094428119854153

Chicago Style (17th ed.) Citation

Kaibel, Chris, and Torsten Biemann. "Rethinking the Gold Standard With Multi-armed Bandits: Machine Learning Allocation Algorithms for Experiments." Organizational Research Methods 24, no. 1 (2021): 78-103. https://doi.org/10.1177/1094428119854153.

MLA (9th ed.) Citation

Kaibel, Chris, and Torsten Biemann. "Rethinking the Gold Standard With Multi-armed Bandits: Machine Learning Allocation Algorithms for Experiments." Organizational Research Methods, vol. 24, no. 1, 2021, pp. 78-103, https://doi.org/10.1177/1094428119854153.