A better probability model for the racetrack using Beyer speed numbers
E. S. Rosenbloom
Omega, 2003, vol. 31, issue 5, 339-348
Abstract:
The dominant model in research related to the racetrack is that a horse's probability of winning a race is equal to the fraction of the win pool bet on that horse when adjusted for a favorite long-shot bias. A new model is developed using Beyer speed numbers to estimate the probability of a horse winning a race. An SPRT like test is developed to determine which of these two models is better. Although developed for the racetrack, this SPRT like test can be utilized whenever there are two models for assigning probabilities and the better model needs to be selected.
Keywords: Simulation; Horse; race; wagering; Sequential; probability; ratio; test (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305-0483(03)00053-7
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:31:y:2003:i:5:p:339-348
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Omega is currently edited by B. Lev
More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().