Probability models on horse-race outcomes
作者:
MukhtarM. Ali,
期刊:
Journal of Applied Statistics
(Taylor Available online 1998)
卷期:
Volume 25,
issue 2
页码: 221-229
ISSN:0266-4763
年代: 1998
DOI:10.1080/02664769823205
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A number of models have been examined for modelling probability based on rankings. Most prominent among these are the gamma and normal probability models. The accuracy of these models in predicting the outcomes of horse races is investigated in this paper. The parameters of these models are estimated by the maximum likelihood method, using the information on win pool fractions. These models are used to estimate the probabilities that race entrants finish second or third in a race. These probabilities are then compared with the corresponding objective probabilities estimated from actual race outcomes. The data are obtained from over 15 000 races. it is found that all the models tend to overestimate the probability of a horse finishing second or third when the horse has a high probability of such a result, but underestimate the probability of a horse finishing second or third when this probability is low.
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