DocumentCode :
1315207
Title :
Small-Sample Estimation for the Lognormal Distribution With Unit Shape Parameter
Author :
Gibbons, Diane I. ; McDonald, Gary
Author_Institution :
Mathematics Department//General Motors Research Laboratories//General Motors Technical Center//Warren, Michigan 48090 USA
Issue :
5
fYear :
1975
Firstpage :
290
Lastpage :
295
Abstract :
Let X be a random variable such that In [(X - ¿)/¿] has a s-normal distribution with mean zero and variance one. Then X has a 3-parameter lognormal distribution with the third parameter, the shape parameter, fixed at unity. This paper presents the coefficients required to construct the best linear unbiased estimators (BLUEs) of ¿ and ¿ for samples of size fifteen and less. The variances and covariances of these estimators are provided. These estimators yield the BLUEs of the mean, standard deviation, and percentiles of X since these quantities are linear functions of ¿ and ¿. Blom´s estimators and maximum likelihood estimators compare favorably with the BLUEs.
Keywords :
Covariance matrix; Environmental economics; Matrices; Maximum likelihood estimation; Random variables; Reliability engineering; Shape; State estimation; Statistical distributions; Yield estimation;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.1975.5214913
Filename :
5214913
Link To Document :
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