RELATIVE BIAS Lognormal Estimator for Gamma Data otal ee OE FS ’ a 2 = ive ~ 2? ? Fi 8loe et ¢ ro Ome eb @ ’ » ¢ 6 ‘Ss vo v + -_ ce ? e + v =1,5% .7 6% ” . x wi S x 2 hO > OF 8 alsee er vo 510 @ WwW » * nO Sample Size n COVERAGE Lognormal Estimator for Gamma Data pen) eH & ° é ¢ é ec 2 Sie e+ ee Sisal vt oe @ ? Ciel ee ee oa Ealeeee ¢ ¢ S aleeee @ ¢ -_ culte ee 60 wb NH ¢ eo ¢ wo Sample Size n Fig. 6. Monte Carlo simulation results on bias and confidence interval coverage of the lognormal estimator with gamma distributed data, EX = 1. Values at the intersections of rows and columns are either 100[Ave(E(x)) - EX]/EX (upper figure) or the proportion of 1000 replications where the computed confidence interval included the true expected value (lower figure). 622