| 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.