Studentization and analysis of variance are simple in Gaussian families because X̅ and S² are independent random variables. We exploit the independence of the spacings in exponential populations with location λ and scale δ to develop simple ways of dealing with inference on the location parameter, namely by developing an analysis of scale in the homocedastic independent k-sample problem.
@article{bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1110,
author = {Maria de F\'atima Brilhante and Sandra Mendon\c ca and Dinis Duarte Pestana and Maria Lu\'\i sa Rocha},
title = {Inference on the location parameter of exponential populations},
journal = {Discussiones Mathematicae Probability and Statistics},
volume = {29},
year = {2009},
pages = {115-129},
zbl = {1208.62027},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1110}
}
Maria de Fátima Brilhante; Sandra Mendonça; Dinis Duarte Pestana; Maria Luísa Rocha. Inference on the location parameter of exponential populations. Discussiones Mathematicae Probability and Statistics, Tome 29 (2009) pp. 115-129. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1110/
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