Population Variance

A uniform random number generator is used to generate the binary information sequence from the binary data source. The sequence of d-de?0d-deOaos and d-de?1d-deOaos is mapped into sequence of +E and d-deOCtEwhere E represents the signal energy. E may be normalized to unityThe Gaussian noise...

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) is a generization of various population-based global optimization schemes. Also, it handles both single- and multi-objective optimization, simply by adding additional objective functions.GODLIKE solves...

This m-file returns the mean, variance and standard deviation of the multinomial distribution with parameters N and P. The Expected Value (i.e., averages):Expected Value = m = Sum(Xi doOCo Pi), the sum is over all i's. Expected value is another name for the mean and (arithmetic) average.The...


Platforms: Matlab

This function generates Pareto random variables (of type I). See "Statistical Distributions", Evans, Hastings and Peacock, Wiley, 1993or http://www.maths.adelaide.edu.au/matthew.r...trns/node6.htmlor http://en.wikipedia.org/wiki/Pareto_distribution The Pareto distribution is a classic...


Platforms: Matlab

Forces the pdf of data to have a normal distribution using a data adaptive lookup table. [normX,Bx,By]=normalizepdf(X)normX=N(X), where N is an data adaptive monotonically increasing function. normX will have zero mean and unit variance.Bx,By is the lookup table


Platforms: Matlab

This script executes some basic calculations from the following article.Leonard AC, Franson SE, Hertzberg VS, Smith MK & Toth GP (1999) Hypothesis testing with the similarity index. Molecular Ecology 8: 2105-2114.Please consult this article for any conceptual or mathematical details.The script...


Platforms: Matlab

Computes the variance of a linear sum of variables. Requires a vector of weights (for the linear sum), and a covariance matrix of the variables.


Platforms: Matlab

Moving variance v=movingvar(x,m) x is the timeseries. m is the window length. v is the variance. Aslak Grinsted 2005


Platforms: Matlab

These files are an adaptation of the ANOVA variance component estimators to be used in the analysis of genetic data, specifically Cockerham's 1969 Theta. Formulae were adapted from Sokal and Rohlf's 1995 Biometry, and test files from the book are given as reference.


Platforms: Matlab

Modeling is a task that Simgua makes easy and it is critical to many fields such as business management, ecological or population simulations, and financial analysis. For instance, in the environmental engineering field, the simulation of pollutant transport or the optimization of treatment...


Platforms: Windows

pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.


Platforms: Windows, Mac, Linux

This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of the webinar was to highlight how Genetic Algorithms may be used to supplement portfolio...


Platforms: Matlab

This file computes a balanced incomplete block design [BIBD] analysis of variance. A BIBD is a set X of v >= 2 elements called treatments and a collection of b > 0 subsets of X, called blocks, such that the following conditions are satisfied: - each block consists of exactly k treatments, v > k >...


Platforms: Matlab

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random...


Platforms: Matlab

Generates complex generalized gaussian random variables with augmentedcovariance matrix Ta = [2*s 0; 0 2*s];and shape parameter c, where c = 1 corresponds to the Gaussian case.x = cggd_rand(c,s,N) generates a vector 1xN of complex samples with a circulargaussian distribution with shape parameter...


Platforms: Matlab

A new hybrid population-basedalgorithm (PSOGSA) is proposed with the combination ofParticle Swarm Optimization (PSO) and Gravitational SearchAlgorithm (GSA). The main idea is to integrate the ability ofexploitation in PSO with the ability of exploration in GSA tosynthesize both algorithmsd-deOao...


Platforms: Matlab

Computes the gini coefficient when given a set of values and population weights.Short on documentation and checks.


Platforms: Matlab

The nondimensional form of Volterra's model for population growth in a closed system is given byk*(du/dt) = u - u^2 - u int_0^t u(x) dxThis gui allows the user to input the initial population u0, nondimensional constant k, final time Tmax and the number of mesh points M. By clicking on the...


Platforms: PHP

This program calculates and plot the Microorganism population through the time.


Platforms: Matlab

This is a small module that enables the automatic population of the menu title field following changes made to the node title in an add or edit form. It is designed to save time with data entry. The feature can be enabled or disabled on a per-content type basis, and allows overriding the menu...


Platforms: PHP