RT Journal Article
T1 The role of parametric assumptions in adaptive Bayesian estimation.
A1 Alcalá Quintana, Rocío
A1 García Pérez, Miguel Ángel
AB Variants of adaptive Bayesian procedures for estimating the 5% point on a psychometric function were studied by simulation. Bias and standard error were the criteria to evaluate performance. The results indicated a superiority of (a) uniform priors, (b) model likelihood functions that are odd symmetric about threshold and that have parameter values larger than their counterparts in the psychometric function, (c) stimulus placement at the prior mean, and (d) estimates defined as the posterior mean. Unbiasedness arises in only 10 trials, and 20 trials ensure constant standard errors. The standard error of the estimates equals 0.617 times the inverse of the square root of the number of trials. Other variants yielded bias and larger standard errors.
SN 1082-989X
YR 2004
FD 2004-06
LK https://hdl.handle.net/20.500.14352/51755
UL https://hdl.handle.net/20.500.14352/51755
LA eng
NO Ministerio de Educación, Cultura y Deporte
NO Ministerio de Ciencia y Tecnología
DS Docta Complutense
RD 17 abr 2025