Inference in nonorthogonal mixed models

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Abstract

The estimation of variance components and estimable vectors is carried out for nonorthogonal mixed models. To do that we use a decomposition of the design space in several orthogonal blocks. We assume the random vectors to have null mean vectors and null cross covariance matrices.
Original languageEnglish
Title of host publicationInternational Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019
EditorsTheodore E. Simos, Charalambos Tsitouras
PublisherAIP - American Institute of Physics
Number of pages5
ISBN (Electronic)978-073544025-8
DOIs
Publication statusPublished - 24 Nov 2020
EventInternational Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019 - Rhodes, Greece
Duration: 23 Sept 201928 Sept 2019

Publication series

NameAIP Conference Proceedings
PublisherAmerican Institute of Physics (AIP)
Volume2293
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019
Country/TerritoryGreece
CityRhodes
Period23/09/1928/09/19

Keywords

  • Inference
  • Mixed models

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