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Analysis of Variety Trials in the Presence of Non‐Random Time Effect
Author(s) -
Odulaja A.,
Afonja B.,
Bamiduro T. A.
Publication year - 1994
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.4710360110
Subject(s) - autoregressive model , randomness , variety (cybernetics) , statistics , random effects model , selection (genetic algorithm) , econometrics , mathematics , analysis of variance , variance (accounting) , computer science , medicine , artificial intelligence , meta analysis , accounting , business
The assumption of random year effect in the analysis of variety trials data over locations and years clearly contradicts the practice of conducting the trials over only a few consecutive years. A method of analysis of such trials which assumes that the year‐dependent effects are serially correlated is proposed in this paper to cater for the non‐randomness in the selection of years of the experiments. A simple autoregressive model was assumed for the serial relationship. A reduction in the variance estimate of the difference between two variety means was obtained using this method.