Binomial Distribution Formula

RANDPDF returns the matrix of random numbers from probability density distribution defined in p and px. p are the density (the y axis) and px are the value (the x axis) of the pdf. p and px must be of the same length. dim define the output matrix dimensions, for example dim=[100 3] define the...

Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slopeIn other wordP(x)= mx+b if 0

BINOMIAL Binomial coefficient.If the arguments are both non-negative integers with 0


Platforms: Matlab

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...


Platforms: Matlab

EMPRAND generates random numbers from empirical distribution of data. This is useful when you do not know the distribution type (i.e. normal or uniform), but you have the data and you want to generate random numbers form that data.The idea is to first construct cumulative distribution function...


Platforms: Matlab

Functions for Rice/Rician PDF: summary statistics (mean and variance), generating random samples, and simple moment-matching to fit the distribution to data.Similar to e.g. normpdf, normstat, normrnd and normfit from the MATLAB statistics toolbox, but for the Rice distribution, which is useful in...


Platforms: Matlab

Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.To use:You need to generate 1000 samples from a 3 dimensional Gaussian...


Platforms: Matlab

This function extracts a scalar/vector/matrix of random numbers with discrete Probability Distribution Function.The PDF is specified by the user as a input vector.This function is designed to be fast, and it is implemented within a .mex fileFollowing Olivier B. comments (that I acknowledge for...


Platforms: Matlab

Useful functions for manipulating and fitting data using the modified Rosin-Rammler distribution.These functions are pretty straightforward, and are provided primarily as a simple, useful curve-fitting example. Much of the code is adapted directly from the "fitcurvedemo" detailed in the MatLab...


Platforms: Matlab

At the moment, the Normal Inverse Gaussian (NIG) distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit. This...


Platforms: Matlab

At the moment, the normal inverse Gaussian distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit.


Platforms: Matlab

This m-file calculates the blocking or loss probability of a network node or link using the Erlang B loss formula. It does not use the formula directly (which doesn't work with high numbers) but an iterative algorithm. Tested with MATLAB R13 and Octave.


Platforms: Matlab

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.


Platforms: Matlab

The objective is to demonstrate character/ symbol frequency distribution analysis (reference to the English language) on 2 vintage ciphers, namely Caesar cipher (a mono-alphabetic substitution cipher) and the Vigenere cipher (a poly-alphabetic substitution cipher).Under the symbol frequency...


Platforms: Matlab

Calculates the min and max of a positive triangular distribution given a standard deviation (sigma) and assuming the mode = 1.This function can handle single value,vector or matrix inputs of sigma. For sigma > 1/sqrt(6), the distribution will be asymmetrical with minimum = 0 and mode = 1.


Platforms: Matlab

The program is simple to use and it will help to find the call/put option price of Dividend or non dividend paying stocks using Black Scholes Formula.Input: Initial stock price(S0), Strike price(K), Interest rate per annum(r), Expiry time in year (T), Volatility (sigma) then it will calculate...


Platforms: Matlab

For negative and pisitive data.If you have part of your data with a negative sign, you can try this analysis to find and plot the Weibull Distribution. FOr positive data runs very well.


Platforms: Matlab

With this GUI you can find the best distribution that fits your data.1. Save the Main_FitDistribution_GUI.fig and Main_FitDistribution_GUI.m files at the same directory.2. Run the Main_FitDistribution_GUI.m file.3. Load data using the "Load Data" button. The file should be a text file with 1...


Platforms: Matlab

It can perform a one or two sided test.The script outputs the probability of observing the resulting value of "s" or "a" value, given "n" total outcomes with a probability of success of "p".


Platforms: Matlab

The COD Support suite of modules provide the core functionality for the COD distribution and are currently its main development focus area.The notable features here are session voting, individual and conference-wide scheduling, easy checkout and reconciliation of orders with UC_Signup.See it in...


Platforms: PHP