Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150917 | Statistical Methodology | 2012 | 5 Pages |
Abstract
When the samples selected from k normal populations are of unequal sizes, we consider the empirical best linear unbiased predictor, EBLUP, for the mean of each population. For fixed values of the means of these populations, conditions for the Mean Square Error (MSE) of the EBLUP to be smaller than the variance of the sample mean and, at the same time, for its absolute bias to be smaller than a specified fraction of the square root of its MSE are obtained. Preference of the EBLUP over the sample mean is examined for the estimation of the averages of the daily hospital expenses of the Standard Metropolitan Statistical Areas (SMSAs) of twenty states in the US.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Poduri S.R.S. Rao,