Split - block Models with Time Series
نویسنده
چکیده
SUMMARY In this paper we consiaer the problem wnere repeated measurements are taKen on eacn experimental unit of a randomized experimental design. If the design is a randomized complete block then traditionally a split-bloCK analysis is used. Here we consider an extension of tne traaitional sol it-bloCK analysis where \~e allow for several orthogonal autocorrelated error components deoending on the definitions of fixed and random effects. Our approach is basea on auto-regressive processes appliea to seoarate orthogonal components of the data and it can also be used for more comolex designs such as Latin square.
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