Title

An Application of Bayesian Regression in Ergonomics

Document Type

Conference Proceeding

Publication Date

7-1-2020

Publication Title

International Conference on Applied Human Factors and Erogonomics

Publisher

Springer

Publisher Location

San Diego, CA

Volume

1217

First page number:

367

Last page number:

376

Abstract

Statistics plays an important part in almost all disciplines, including applied ergonomics and human factors. Majority of applied ergonomics literature uses the classical or frequentist statistical methods, and the applications of Bayesian statistical methods in applied ergonomics has been quite limited. This is possibly due to two reasons: (i) the discipline of applied ergonomics is relatively new, dating back to WWI, and (ii) computationally intensive nature of Bayesian solutions. In other disciplines, Bayesian statistical methods have become quite popular. The purpose of this article is to introduce Bayesian regression modeling to the research area of applied ergonomics, via a dataset from ergonomics research.

Keywords

Ordinal regression; Proportional odds assumption; Weekly informative prior; Prior distribution; Posterior distribution; HPD credible sets; Markov chain monte carlo simulation

Disciplines

Applied Statistics | Biostatistics | Ergonomics

Language

English

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