Semiparametric Bayesian approaches to systems factorial technology

8Citations
Citations of this article
29Readers
Mendeley users who have this article in their library.

Abstract

Systems factorial technology (e.g., Townsend and Nozawa, 1995) is a toolbox of methods to test characteristics of multichannel processing systems. In this paper, we present a semiparametric Bayesian model of response times based on a piecewise-exponential model. This model allows us to compute the posterior estimates of the response time distribution hazard function and the systems factorial technology functionals that can be computed from it, including the survivor function interaction contrast and the capacity coefficient. We then compute posterior estimates of statistics that reflect different behaviors of the functionals, and so arrive at a fully Bayesian and theoretically-motivated approach to systems factorial technology. Simulation studies demonstrate the effectiveness of the approach, and we apply it to a published data set.

Cite

CITATION STYLE

APA

Houpt, J. W., MacEachern, S. N., Peruggia, M., Townsend, J. T., & Van Zandt, T. (2016). Semiparametric Bayesian approaches to systems factorial technology. Journal of Mathematical Psychology, 75, 68–85. https://doi.org/10.1016/j.jmp.2016.02.008

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free