TY - JOUR
TI - On optimality and construction of row designs under dependence for estimating means
AU - Chasiotis, V.
AU - Pericleous, K.
AU - Koukouvinos, C.
AU - Kounias, S.
JO - Linear and Multilinear Algebra
PY - 2020
VL - null
TODO - null
SP - null
PB - Taylor and Francis Ltd.
SN - 0308-1087, 1563-5139
TODO - 10.1080/03081087.2020.1744504
TODO - null
TODO - In row designs, n experimental units are arranged in time or along a line. Every experimental unit is allocated to one out of ν treatments. The purpose of this paper is to determine optimal row designs for estimating means, that is treatment effects, under the model of main effects with homogeneous population. The errors of the observations follow a first-order autoregressive process with parameter ρ. For ν = 3, we show that the design (Formula presented.) is D-optimal, when n = 3m, for any 0 < ρ < 1 and any m ≥ 2. Also, we find and construct the A-optimal designs, when n = 3m, for any 0 < ρ < 1 and any m ≥ 2. Moreover, we prove that the designs (Formula presented.) and (Formula presented.) are D-optimal, when n = 3m + 1 and n = 3m + 2, respectively, for any 0 < ρ < 1 and any m ≥ 1. Furthermore, we present the competing designs for some values of n, when ν ≥ 4 and −1 < ρ < 1. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
ER -