Marginal

The inputs are the imf's amplitud and the imfs instantaneous frequency. The outputs are the Marginal Hilbert Spectrum (mhs) amplitude vector and a frequency vector corresponding to the amplitude vector. In order to obtain a more interpretable graph the instantaneous frequency vector can be...

m and .mdl files to reproduce figures in the book, Feedback Control of Dynamic Systems, 5th Ed., Prentice-Hall, 2006Featuring a brand new chapter on nonlinear systems, this revision of the best-selling textbook on feedback control has been recognized for even greater instructor flexibility and...

Updates from version 2.0:1. The marginal GARCH models are estimated from the toolbox functions (without the use of the econometrics/GARCH toolbox of MATLAB).2. Hansen's Skew t distribution for the margins is supported.3. Asymptotic standard errors are computed (Godambe info. matrix)


Platforms: Matlab

The program produces Routh table and concludes upon the stability of the system.In the case of marginal stability,the exact roots are also shown,where the locus of roots will intersect the imaginary axis.


Platforms: Matlab

Exercises and case studies for a rigorous approach to risk- and portfolio-management. This booklet stems from the review sessions of the six-day ARPM bootcamp.Contents include:Advanced multivariate statistics; copula-marginal decompositionAnnualization/projection (FFT, cumulants,...


Platforms: Matlab

Scribus is an open-source program that brings award-winning professional page layout to Linux/Unix, MacOS X and Windows desktops with a combination of "press-ready" output and new approaches to page layout. Underneath the modern and user friendly interface, Scribus supports professional...


Platforms: Windows

PDL::IO::Misc is a Perl module with misc IO routines for PDL. rcols() Read ASCII whitespaced cols from a file into piddles and perl arrays (also see "rgrep()"). There are two calling conventions - the old version, where a pattern can be specified after the filename/handle, and the new...


Platforms: *nix

Kye is a puzzle game which takes ideas from Sokoban and the genre of falling-rocks puzzle games. However, it includes a wider range of objects, allowing a larger variety of puzzles to be constructed. Python Kye is a clone of the original, shareware, Kye for Windows, and is compatible with the...


Platforms: *nix

BeanCounter enables stockmarket data analysis and performance evaluation. Ever wondered what happened to your portfolio on a day the market moved 500 points? Ever wondered what your portfolio returned over the last (odd and arbitrary) period? Ever wondered what the Value-at-Risk (VaR) was? Ever...


Platforms: *nix

Text::NSP::Measures::2D is a Perl module that provides basic framework for building measure of association for bigrams. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::MI::ll; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $ll_value = calculateStatistic( n11=>$n11, n1p=>$n1p,...


Platforms: *nix

Text::NSP::Measures::2D::Fisher2::twotailed is a Perl module implementation of the two-sided Fishers exact test. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::Fisher2::twotailed; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $twotailed_value = calculateStatistic(...


Platforms: *nix

Text::NSP::Measures::3D is a Perl module that provides basic framework for building measure of association for trigrams. This module can be used as a foundation for building 3-dimensional measures of association that can then be used by statistic.pl. In particular this module provides methods...


Platforms: *nix

Taxpayers' Millions, Chance of a Lifetime is a satirical arcade and puzzle game in which the player governs a famous SW Pacific nation and seeks re-election.Squander your way through a campaign or blunder your way through the five unique subplots individually.Can you, armed only with a keen...


Platforms: Mac

Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded references for formula.This code is used for the...


Platforms: Matlab

The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)...


Platforms: Matlab