PEST: Efficient Estimates on Probability Functions 论文
1967The Journal of the Acoustical Society of America引用 1206
Simulation Techniques and ApplicationsGaussian Processes and Bayesian InferenceProbabilistic and Robust Engineering Design
摘要
An adaptive procedure for rapid and efficient psychophysical testing is described. PEST (Parameter Estimation by Sequential Testing) was designed with maximally efficient trial-by-trial sequential decisions at each stimulus level, in a sequence which tends to converge on a selected target level. An appendix introduces an approach to measuring test efficiency as applied to psychophysical testing problems.