Title :
Revision of Continuous Subjective Probability Distributions
Author :
Peterson, C.R. ; Phillips, L.D.
Author_Institution :
The Engineering Psychology Laboratory, Institute of Science and Technology, University of Michigan, Ann Arbor, Mich.
fDate :
3/1/1966 12:00:00 AM
Abstract :
Subjects observed sequences of data drawn from binomial populations. After each observation in a data sequence Ss divided the continuum of proportions, from 0 to 1, into three intervals such that each interval was equally likely to contain the population proportion. The boundaries of the subjective intervals were generally quite similar to the corresponding boundaries of the Bayesian posterior distributions, especially after the first few observations in each data sequence. However, a theoretical conservatives S, accumulating information at the rate of only one-half datum per observation, also generated boundaries quite near the Bayesian boundaries. This degree of conservatism in the revision of a continuous subjective probability distribution does not preclude a relatively high degree of accuracy in the placement of credible interval boundaries.
Keywords :
Bayesian methods; Contracts; Human factors; Probability distribution; Psychology; Public healthcare;
Journal_Title :
Human Factors in Electronics, IEEE Transactions on
DOI :
10.1109/THFE.1966.231979