Selective F tests for sub-normal models

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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 languageEnglish
Pages (from-to)167-174
Number of pages8
JournalDiscussiones Mathematicae: Probability and Statistics
Issue number2
Publication statusPublished - 1 Jan 2003


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


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