Ecole Nationale Supérieure Agronomique de Montpellier ... - CIAM
Ecole Nationale Supérieure Agronomique de Montpellier ... - CIAM
Ecole Nationale Supérieure Agronomique de Montpellier ... - CIAM
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TABLE 4. Type I error and power of the test of spatial in<strong>de</strong>pen<strong>de</strong>nce between clusters of<br />
diseased plants at two assessment dates on a lattice, in relation to a <strong>de</strong>parture from the<br />
assumptions of stationarity and in<strong>de</strong>pen<strong>de</strong>nce of missing plants.<br />
Bor<strong>de</strong>r<br />
effect c<br />
Aggregation<br />
with missing<br />
plants d<br />
Distance class 1 Distance class 2 Distance class 3 Distance class 4<br />
In<strong>de</strong>pen<strong>de</strong>nt a Depen<strong>de</strong>nt b In<strong>de</strong>pen<strong>de</strong>nt Depen<strong>de</strong>nt In<strong>de</strong>pen<strong>de</strong>nt Depen<strong>de</strong>nt In<strong>de</strong>pen<strong>de</strong>nt Depen<strong>de</strong>nt<br />
0.135 1.000 0.146 1.000 0.161 1.000 0.151 1.000<br />
0.035 0.994 0.052 0.998 0.048 1.000 0.044 0.996<br />
a The level of type I error is the probability to wrongly reject the (null) hypothesis of in<strong>de</strong>pen<strong>de</strong>nce when<br />
in<strong>de</strong>pen<strong>de</strong>nt patterns are simulated.<br />
b The power of the test is the probability to correctly reject the (null) hypothesis of in<strong>de</strong>pen<strong>de</strong>nce when<br />
<strong>de</strong>pen<strong>de</strong>nt patterns are simulated.<br />
c The simulated patterns is inhomogeneous, with an excessive number of diseased plants near one bor<strong>de</strong>r of the<br />
plot.<br />
d Missing plants are simulated at random locations, and diseased plants at time 1 are simulated around them.<br />
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