A bivariate normal theory maximum‐likelihood technique when certain variances are known

Mitchell O. Locks

Naval Research Logistics Quarterly, 1971, vol. 18, issue 4, 525-530

Abstract: A maximum‐likelihood technique is described for estimating the bivariate normal distribution of the estimates of two or more related values when data are obtained from several different sources, each having known variance. The problem is comparable, in the bivariate sense to estimating the mean of a normal population with known variance. The results tend to be dominated by those sources of data associated with the smallest variances.

Date: 1971
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https://doi.org/10.1002/nav.3800180412

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Persistent link: https://EconPapers.repec.org/RePEc:wly:navlog:v:18:y:1971:i:4:p:525-530

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