Abstract
Alfandari, Denoyel and Thiele [Annals of Operations Research, 292, 2020, 553-573] expressed an expected customer choice probability as a sum of two integrals. We show that the integrals can be simplified in terms of a well known function. We also give a Maple code for computing the expected customer choice probability.
This is a preview of subscription content, log in via an institution to check access.
References
Alfandari, L., Denoyel, V., & Thiele, A. (2020). Solving utility-maximization selection problems with Multinomial Logit demand: Is the First-Choice model a good approximation? Annals of Operations Research, 292, 553–573.
Gradshteyn, I. S., & Ryzhik, I. M. (2014). Tables of Integrals, Series and Products (8th ed.). New York: Academic Press.
Prudnikov, A. P., Brychkov, Y. A., & Marichev, O. I. (1986). Integrals and Series, volumes 1, 2 and 3. Amsterdam: Gordon and Breach Science Publishers.
Acknowledgements
The authors would like to thank the Editor and the referee for careful reading and comments which improved the paper.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Nadarajah, S., Chan, S. On the expression for expected customer choice probabilities. Ann Oper Res 307, 499–502 (2021). https://doi.org/10.1007/s10479-021-04260-4
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10479-021-04260-4