15-May-2025 09:18:33 log_normal_truncated_ab_test(): MATLAB/Octave version 6.4.0 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 111.579 0.000930807 0.879992 111.579 14.3462 0.0149752 0.554416 14.3462 4.83443 0.0540476 0.293448 4.83443 24.3649 0.00764329 0.660726 24.3649 5.24069 0.0493613 0.314428 5.24069 165.844 0.000515643 0.917455 165.844 8.03698 0.0301584 0.421701 8.03698 348.139 0.000162941 0.969732 348.139 4.76354 0.0549481 0.289585 4.76354 2.1398 0.129727 0.0725535 2.1398 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 = 51.0749 Sample variance = 10300.5 Sample maximum = 648.876 Sample minimum = 1.66456 log_normal_truncated_ab_test(): Normal end of execution. 15-May-2025 09:18:33