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Estimation of Interplant Dependence in a Linear Planting Scheme
Author(s) -
Gleeson A. C.,
McGilchrist C. A.
Publication year - 1979
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710210603
Subject(s) - maximum likelihood , mathematics , sowing , statistics , estimation , sample (material) , estimation theory , agronomy , biology , physics , management , economics , thermodynamics
A maximum likelihood procedure is developed to estimate the dependence relations between plants at equal distances along a row, by fitting simultaneous bilateral models to the observations. Where there is more than one characteristic measured on each plant, a simultaneous bilateral vector model can be fitted by maximum likelihood procedures. The latter model also applies when one characteristic is measured on each plant in a two‐dimensional planting array where interplant distances within each row are equal but interrow spacing varies. The estimation is particularly suited to the small sample situation.