Normal Probability Distribution

Add to Your statistic toolbox this functions:KolmCdf - Kolmogorov cumulative distribution function:F(x)=sum((-1)^n*exp(-2*n^2*x^2),n,-inf,inf);KolmPdf - Kolmogorov probability distribution function;KolmInv - Inverse of the Kolmogorov cumulative distribution function.

LAPLACEOFPARETO evaluates the Laplace-Stietljes transform (LST) of the Paretodistribution with parameters a and b. Specifically, this function evaluatesthe LST E[exp(-sX)] of a random variable $X$ which has Pareto distribution$F(x)=1-frac{b^a}{(b+x)^a}$, where s>0, a>0, b>0. The formula used...

Two functions are included. The first is 'quadriorth.m' which calculates the orthants probabilities of the quadrivariate normal distribution. Imagine a 4-dimensional space divided into sub-spaces according to the sign of each variable, which results in 2^4 = 16 orthants, say + + + +, + + +...


Platforms: Matlab

% pearspdf% [p,type,coefs] = pearspdf(X,mu,sigma,skew,kurt)%% Returns the probability distribution denisty of the pearsons distribution% with mean `mu`, standard deviation `sigma`, skewness `skew` and% kurtosis `kurt`, evaluated at the values in X.%% Some combinations of moments are not valid for...


Platforms: Matlab

It uses a Log Pearson Type-3 distribution for estimating quantiles.NaN need to be removed in the dataset. If any years have missing data, it will still assume to include that year as part of the sample size-- as stipulated in 17B guidelines. An exmaple MAT file is provided for the user to test. A...


Platforms: Windows, Mac, *nix, Matlab, Solaris

How can we characterize an image, and does the same characterization yield the same result? In this work, we study one possible characterization, distribution metrics. That is, we assume the desired region of interest has a different probability distribution from its corresponding background....


Platforms: Matlab

Here is the code for the pricing of an american call option with one dividend. This is the Roll, Geske,Whaley approximation of an AMerican call with one dividend. This code makes use of Bivariate normal distribution and normal distribution. More pricing options would be followed soon.


Platforms: Matlab

This m-file gives the expansion of powers of sums of any real or complex numbers x and y, and any negative integer n. In 1676 Newton showed that the binomial theorem also holds for negative integers n, which is the so-called negative binomial series and converges for |x| < y. From this emerges...


Platforms: Matlab

The Logistic-Normal distribution [1] is a distribution over a simplex which forms a richer class of distributions than Dirichlets and better captures intercomponent correlations. We present the method for fitting a Hierarchical Logistic-Normal (HLN) distribution given by Hoff [2].Instructions:1....


Platforms: Matlab

This zip contains functions that allow- to draw random samples from any arbitrary bivariate Gamma distribution, with Gamma distributed marginals. The user should specify the shape and scale parameters of the marginals, as well as the linear correlation coefficient.The algorithm is based on...


Platforms: Matlab

arcoDemo provides an interactive visualization of two algorithms for compression of data streams: arithmetic coding and its predecessor, Elias coding.The demonstration allows a user to specify the source alphabet, the underlying probability distribution, and the precision of the floating point...


Platforms: Matlab

Performs watermarking of the input image by decomposing the image using haar wavlet. Noise generated with normal distribution is used as the key and is added to the input image to obtain the watermarked image.


Platforms: Matlab

Math software is often bulky, overloaded with useless features and requires reading huge manual before attempting to use it. SLGallery is the unique probability distribution calculation toolbox featuring 11 continuous and 4 discrete functions. With SLGallery it is possible to plot graph and find...


Platforms: Windows

Statistical analysis of experimental data. An automatically selection of applicable presentation for given combination of numbers of arguments and values with flexibility in choosing suitable interface to fit data with diverse of formulas. Input of data: copy/paste, database table, text file,...


Platforms: Windows, Windows CE

statistiXL is a powerful data analysis package that runs as an add-in to Windows versions of Microsoft Excel. statistiXL has been entirely designed and written by scientists in order to meet the demanding needs of anyone requiring access to a robust, versatile statistical analysis package that is...


Platforms: Windows

Test::Stochastic is a Perl module to check probabilities of randomized methods. SYNOPSIS use Test::Stochastic qw(stochastic_ok); stochastic_ok sub { ...random sub...}, {a => 0.4, b => 0.6}; stochastic_ok {a => 0.4, b => 0.6}, sub { ...random sub...}; Test::Stochastic::setup(times => 100,...


Platforms: *nix

MaxEntropy is a Perl5 module for Maximum Entropy Modeling and Feature Induction. SYNOPSIS use Statistics::MaxEntropy; # debugging messages; default 0 $Statistics::MaxEntropy::debug = 0; # maximum number of iterations for IIS; default 100 $Statistics::MaxEntropy::NEWTON_max_it = 100; #...


Platforms: *nix

PDL::Slatec is a PDL interface to the slatec numerical programming library. SYNOPSIS use PDL::Slatec; ($ndeg, $r, $ierr, $a) = polyfit($x, $y, $w, $maxdeg, $eps); This module serves the dual purpose of providing an interface to parts of the slatec library and showing how to interface PDL...


Platforms: *nix

This software offers several ways for users to randomly extract data from an MS Excel spreadsheet. Once the data set is determined, qualifying results may be narrowed. Excel 2000 or higher required.


Platforms: Windows

Input data is the Microsoft ExceldlT« file, where the table of nodes, table of elements, nodal external loads vector and boundary conditions are stored.After running the mabs3d.m file on the Command Window, the program calculates the stiffness matrix in local coordinates kiL (element i). Once...


Platforms: Matlab