Stochastic Booking Models
Stochastic Booking Models is a mathematical framework within booking curve analysis that incorporates probabilistic methods to model and forecast uncertain booking behaviors over time, distinguishing it from deterministic approaches by explicitly accounting for randomness and variability in demand patterns.
20
Publications
1.5K
Citations
50
Authors
36
Institutions
Publications per year
2017–2026
5
Parents
20
Allocation of Airline Seats between Stochastically Dependent Demands
Shelby L. Brumelle, Jeff McGill, Tae Hoon Oum et al. · Transportation Science · 1990 · 178 citations
1–5 of 20
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36
Georgia Institute of Technology
Atlanta, United States
2 h-index
4 publications
91 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
86 citations

Cornell University
Ithaca, United States
2 h-index
2 publications
223 citations

University of British Columbia
Vancouver, Canada
2 h-index
6 publications
961 citations
Wokingham Hospital
Wokingham, United Kingdom
1 h-index
1 publications
424 citations
Revenue Management Solutions (United States)
Tampa, United States
1 h-index
1 publications
71 citations
Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
2 publications
44 citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
1 h-index
1 publications
25 citations
1–8 of 36
4 publications · 477 citations
4
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POMS · 3 publications · 51 citations
3
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3 publications · 347 citations
3
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2 publications · 89 citations
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Repository · 1 publications · 22 citations
1
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1–5