19-Apr-2023 06:43:11 log_normal_truncated_ab_test(): MATLAB/Octave version 5.2.0 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 3.75577 0.071448 0.226555 3.75577 1.69147 0.164726 0.0071323 1.69147 61.3277 0.00219719 0.808754 61.3277 55.1923 0.00254549 0.794248 55.1923 1.89987 0.146498 0.039493 1.89987 30.2609 0.00575265 0.699769 30.2609 3.94098 0.0677823 0.239443 3.94098 11.4436 0.0197659 0.504554 11.4436 40.4123 0.00390479 0.747771 40.4123 10.9005 0.0209662 0.4935 10.9005 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 = 50.4684 Sample variance = 9827.98 Sample maximum = 643.513 Sample minimum = 1.65058 log_normal_truncated_ab_test(): Normal end of execution. 19-Apr-2023 06:43:11