Published July 2000 | Version Submitted
Working Paper Open

On Estimating the Mean In Bayesian Factor Analysis

Abstract

In the Bayesian factor analysis model (Press & Shigemasu, 1989), the sample size was assumed to be large enough to estimate the overall population mean by the sample mean. In this paper, the procedure of estimating the population mean by the sample mean is compared to estimating it along with the other parameters both by Gibbs sampling and Iterated Conditional Modes. Results show that even in small samples, the Gibbs sampling and iterated conditional modes estimates of the mean are for practical purposes identical to the sample mean. Thus, the population mean is adequately estimated by its sample value.

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Identifiers

Eprint ID
79942
Resolver ID
CaltechAUTHORS:20170808-134717128

Dates

Created
2017-08-09
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Updated
2019-10-03
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Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
1096