Inference on the location parameter of exponential populations

Maria de Fátima Brilhante; Sandra Mendonça; Dinis Duarte Pestana; Maria Luísa Rocha

Discussiones Mathematicae Probability and Statistics (2009)

  • Volume: 29, Issue: 2, page 115-129
  • ISSN: 1509-9423

Abstract

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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.

How to cite

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Maria de Fátima Brilhante, et al. "Inference on the location parameter of exponential populations." Discussiones Mathematicae Probability and Statistics 29.2 (2009): 115-129. <http://eudml.org/doc/277069>.

@article{MariadeFátimaBrilhante2009,
abstract = {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.},
author = {Maria de Fátima Brilhante, Sandra Mendonça, Dinis Duarte Pestana, Maria Luísa Rocha},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {studentization; analysis of scale; characterizations; independence of exponential spacings; location-scale families; F-ratio; location-scale families, -ratio.},
language = {eng},
number = {2},
pages = {115-129},
title = {Inference on the location parameter of exponential populations},
url = {http://eudml.org/doc/277069},
volume = {29},
year = {2009},
}

TY - JOUR
AU - Maria de Fátima Brilhante
AU - Sandra Mendonça
AU - Dinis Duarte Pestana
AU - Maria Luísa Rocha
TI - Inference on the location parameter of exponential populations
JO - Discussiones Mathematicae Probability and Statistics
PY - 2009
VL - 29
IS - 2
SP - 115
EP - 129
AB - 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.
LA - eng
KW - studentization; analysis of scale; characterizations; independence of exponential spacings; location-scale families; F-ratio; location-scale families, -ratio.
UR - http://eudml.org/doc/277069
ER -

References

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