Selective F tests for sub-normal models

Dulce G. Pereira; João Tiago Praça Nunes Mexia

Selective F tests for sub-normal models

Dulce G. Pereira, João Tiago Praça Nunes Mexia

Research output: Contribution to journal › Article › peer-review

Abstract

F tests that are specially powerful for selected alternatives are built for sub-normal models. In these models the observation vector is the sum of a vector that stands for what is measured with a normal error vector, both vectors being independent. The results now presented generalize the treatment given by Dias (1994) for normal fixed-effects models, and consider the testing of hypothesis on the ordering of mean values and components.

Original language	English
Pages (from-to)	167-174
Number of pages	8
Journal	Discussiones Mathematicae: Probability and Statistics
Volume	23
Issue number	2
Publication status	Published - 1 Jan 2003

Keywords

sective F tests
sub-normal models
max-min tests
orderings

Cite this

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AB - F tests that are specially powerful for selected alternatives are built for sub-normal models. In these models the observation vector is the sum of a vector that stands for what is measured with a normal error vector, both vectors being independent. The results now presented generalize the treatment given by Dias (1994) for normal fixed-effects models, and consider the testing of hypothesis on the ordering of mean values and components.

KW - sective F tests

KW - sub-normal models

KW - max-min tests

KW - orderings

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JO - Discussiones Mathematicae: Probability and Statistics

JF - Discussiones Mathematicae: Probability and Statistics

SN - 1509-9423

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Selective F tests for sub-normal models

Abstract

Keywords

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