The randomization model for experiments in block designs and the recovery of inter-block information

A general randomization model for experiments in block designs and conditions for obtaining the best linear unbiased estimators of treatment parametric functions under the model are re-examined. It is shown how the best linear unbiased estimators under the overall randomization model can be obtained...

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Bibliographic Details
Published inJournal of statistical planning and inference Vol. 52; no. 3; pp. 359 - 374
Main Authors Caliński, Tadeusz, Kageyama, Sanpei
Format Journal Article
LanguageEnglish
Published Lausanne Elsevier B.V 01.07.1996
New York,NY Elsevier Science
Amsterdam
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Summary:A general randomization model for experiments in block designs and conditions for obtaining the best linear unbiased estimators of treatment parametric functions under the model are re-examined. It is shown how the best linear unbiased estimators under the overall randomization model can be obtained when the variance components are known. Furthermore, a general method of estimating these, usually unknown, variance components is described and properties of the resulting estimators of treatment parametric functions are considered. In connection with this the recovery of inter-block information in a general block design is discussed.
ISSN:0378-3758
1873-1171
DOI:10.1016/0378-3758(95)00124-7