07-Jan-2022 22:45:54 log_normal_truncated_ab_test(): MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2 Test log_normal_truncated_ab(). LOG_NORMAL_TRUNCATED_AB_CDF_TEST(): LOG_NORMAL_TRUNCATED_AB_CDF evaluates the Log Normal Truncated AB CDF; LOG_NORMAL_TRUNCATED_AB_CDF_INV inverts the Log Normal Truncated AB CDF. LOG_NORMAL_TRUNCATED_AB_PDF evaluates the Log Normal Truncated AB PDF; PDF parameter MU = 0.5 PDF parameter SIGMA = 3 PDF parameter A = 1.64872 PDF parameter B = 665.142 X PDF CDF CDF_INV 64.1316 0.00206349 0.814724 64.1316 145.355 0.000628846 0.905792 145.355 2.60519 0.105719 0.126987 2.60519 158.209 0.00055367 0.913376 158.209 20.9918 0.00926456 0.632359 20.9918 2.34165 0.118182 0.0975404 2.34165 4.56646 0.0576002 0.278498 4.56646 13.8538 0.0156372 0.546882 13.8538 284.199 0.000224689 0.957507 284.199 320.315 0.000186017 0.964889 320.315 LOG_NORMAL_TRUNCATED_AB_SAMPLE_TEST(): LOG_NORMAL_TRUNCATED_AB_MEAN computes the Log Normal Truncated AB mean; LOG_NORMAL_TRUNCATED_AB_SAMPLE samples the Log Normal Truncated AB distribution; LOG_NORMAL_TRUNCATED_AB_VARIANCE computes the Log Normal Truncated AB variance. PDF parameter MU = 0.5 PDF parameter SIGMA = 3 PDF parameter A = 1.64872 PDF parameter B = 665.142 PDF mean = 48.9182 PDF variance = 9451.08 Sample size = 1000 Sample mean = 43.098 Sample variance = 8067.27 Sample maximum = 656.274 Sample minimum = 1.65182 log_normal_truncated_ab_test(): Normal end of execution. 07-Jan-2022 22:45:54