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Table 4 Results of SAS regression used to estimate prior distribution of coefficients for WinBUGS MCMC analysis

From: A heteroskedastic error covariance matrix estimator using a first-order conditional autoregressive Markov simulation for deriving asympotical efficient estimates from ecological sampled Anopheles arabiensis aquatic habitat covariates

Variable

df

Coefficient

SE

P

Intercept

1

1.4020

0.1053

<0.0001

DANIMAL

1

0.0357

0.0057

<0.0001

TILLERS

1

0.0052

0.0066

0.4297

CANOPY

1

0.0172

0.0044

<0.0001

TURBIDITY

1

0.0483

0.0341

<0.0001

DEPTH

1

0.0521

0.1702

0.7596