Name | Modified | Size | Downloads / Week |
---|---|---|---|
Wiki_Images | 2014-11-02 | ||
Validation documents | 2014-10-26 | ||
Ticket_Images | 2014-06-08 | ||
Archive | 2014-02-17 | ||
README.txt | 2014-10-31 | 4.3 kB | |
TPC_2.0.zip | 2014-10-31 | 73.2 kB | |
TPC_1.0.zip | 2014-05-05 | 63.3 kB | |
TPC_04.zip | 2014-04-04 | 39.2 kB | |
TPC_0.3.zip | 2014-02-17 | 37.6 kB | |
TPC_0.2_14_02_08.zip | 2014-02-09 | 36.7 kB | |
Totals: 10 Items | 254.3 kB | 0 |
MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMM M M M T a i l P r o b a b i l i t y C a l c u l a t o r M M ===================================================== M M ReadMe relase notes fore version 2.0 M M M MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMM Purpose: ======== This project contains a suite of Matlab functions that calculate the tail probability / CDF / PDF / quantile of linear combination of random variables in one of the following classes: (1) symmetric random variables defined on the whole real axis (normal, Student's t, uniform and triangular); (2) random variables with support on the positive real axis (central and non- central chi-squared, standard and non-standard Lambda W x chi-squared distributions [added in version 2.0] and inverse gamma distributions [temporarily disabled in version 2.0 due to numerical issues]). For more information see https://sourceforge.net/p/tailprobabilitycalculator/wiki/Home/ Copyright (c) 2014, Tomy Duby and Viktor Witkovsky tomyduby@gmail.com and witkovsky@savba.sk Installation ============ * Copy the downloaded Matlab files into a new folder on your computer. * Make sure that this folder is on your Matlab path (use Matlab function addpath to add this folder to your current path). Revision History: ================= Version 2.0, 31-oct-14 ---------------------- Ticket #44: Introduce the log-Lambert W x chi-squared distributions. Adopting the inversion algorithm for this distribution. Version 1.1, 5-Jun-14 --------------------- Ticket #33: improved on the accuracy of pdf and cdf calculation for Student's t distribution. The results for pdf have now an absolute error < 1e-13 and for cdf < 1e-9. Ticket #38: Bug fix: TPC crashes when calculating the linear combination of two inverse gamma random variables. Version 1.0, 5-May-14 --------------------- Ticket #13: Introduced function TPC as the entry function to both the GUI and command line versions. Ticket #17: Add license agreement to files. Ticket #27: When the characteristic function contains only one element this does not have to be a cell structure. Ticket #28: Allow the 'Tail' optional argument accept 'cdf' and 'tail' values in addition to "0" or "false" / "1" or "true". Ticket #29: Validation of cdf, pdf and quantile calculation for non-central chi-squared distribution Beta Version 0.5, 5-Apr-14 -------------------------- Ticket #20: Improving the accuracy of results of Student's t distribution for large values of arguments x. Beta Version 0.4, 4-Apr-14 -------------------------- Mainly making sure that the software works and provides accurate results on a wide range of parameters for normal, Student's t, uniform, triangular, chi-squared and inverse gamma distributions. Ticket #18: Fixing bugs in validating calculations involving chi^2 distribution Ticket #19: Fixing bugs in validating calculations involving inverse gamma distribution Ticket #20: Fixing bugs in validating calculations involving Student's t distribution Beta Version 0.3, 17-Feb-14 --------------------------- Ticket #14: Triangular distribution crashes in TPC_10. Fixed. Ticket #15: TPC_10 fails to calculate pdf of five symmtric random variables. Ticket #16: Allow to run TPC_20 with argument 'Version' or 'version' and return the current software version. This version runs with Example 4 of [Function TPC_20]. Beta Version 0.2, 8-Feb-14 -------------------------- This version fixes several bugs. Mainly ticket no. 8: Error when calculating the linear combination of random variables with support on positive real axis. I have thoroughly tested the program for one chi-squared or inverse gamma distribution with either positive or negative coefficients of linear combination and positive or negative values of x.