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COMPARISON OF SOME TESTS FOR CORRELATED ERROR IN ANIMAL STUDIES

Year 1996, Volume: 6 Issue: 1, 191 - 203, 07.06.2016

Abstract

Some assumptions should be checkcd . because  of autqçprre.Iation of residuals, when data collected on the same subject at each timtU5:ıJp_aCif Thefo is' 'no problem for testing the treatınents,  whercas  some

assumptfons - should  be  valid  for  testing ' the  period   and  period   freatment

interaction in case of iepeated ·measures . .in this study, . 53 male lambs werc; assigned to th '.İhree tieatmertts and each one was measured with  15 days' ·.;

interval through '70 days.: Four different analysis  methods, standard  analysis.  ' transformed   data  analysis,   auto-regressive   error  model.   and  inuitivariate ·.:: anaiysis· wefrf(pefforiried to comparc for   epeated  measures. ' There we're nô . diffo(ertces :irt terrns  of  imprövement , .of ,F  test  among  standard  analysis. trasfomied'·'; data'    analysis          and       n:iultivariate . arialvsis ·   methods .·   Thc ·

.    (J .,:._ _.,:· ı'·' ff .:.'.·<. )-:  '   ".d  .              .  .                            .          '          -      :        .     . .  . .      .  .,     ..    -

autorgrssıve. error model ımproved thc F:tcst by _%20 ,Whereas assu mptıon ,: . were'not vaıief fo{this analysis:

HAYVANCILIK UYGULAMALARINDA HATALARIN BİRBİRİ İLE İLİŞKİLİ OLDUĞU DURUMLARDA BAZI TESTLERİN KARŞILAŞTIRILMASI

Year 1996, Volume: 6 Issue: 1, 191 - 203, 07.06.2016

Abstract

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Details

Primary Language English
Journal Section Articles
Authors

Hayrettin Okut This is me

Tufan Altın This is me

Serhat Arslan This is me

Ahmet Taşdelen This is me

Publication Date June 7, 2016
Published in Issue Year 1996 Volume: 6 Issue: 1

Cite

APA Okut, H., Altın, T., Arslan, S., Taşdelen, A. (2016). COMPARISON OF SOME TESTS FOR CORRELATED ERROR IN ANIMAL STUDIES. Yuzuncu Yıl University Journal of Agricultural Sciences, 6(1), 191-203.
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Yuzuncu Yil University Journal of Agricultural Sciences by Van Yuzuncu Yil University Faculty of Agriculture is licensed under a Creative Commons Attribution 4.0 International License.