Descriptor
| Bayesian Statistics | 1 |
| Estimation (Mathematics) | 1 |
| Higher Education | 1 |
| Markov Processes | 1 |
| Maximum Likelihood Statistics | 1 |
| Monte Carlo Methods | 1 |
Source
Author
| Cohen, Allan S. | 1 |
| Kim, Seock-Ho | 1 |
Publication Type
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Law School Admission Test | 1 |
What Works Clearinghouse Rating
Download full textKim, Seock-Ho; Cohen, Allan S. – 1998
The accuracy of the Markov Chain Monte Carlo (MCMC) procedure Gibbs sampling was considered for estimation of item parameters of the two-parameter logistic model. Data for the Law School Admission Test (LSAT) Section 6 were analyzed to illustrate the MCMC procedure. In addition, simulated data sets were analyzed using the MCMC, marginal Bayesian…
Descriptors: Bayesian Statistics, Estimation (Mathematics), Higher Education, Markov Processes
