Software Listing: Binomial Probability Distribution Plots

Probability Distribution Plotter (ProbDistPlot) is a GIU tool which plots statistical distributions commonly used in reliability engineering. The program plots the probability distribution function (pdf), the cumulative distribution function (cdf) and the hazard rate of each distribution. The user can gain a better understanding of the affect the distribution parameters have on the distribution but interactively changing distribution parameters with slides. ProbDistPlot is also able to create quick and easy figures by allowing multiple distributions to be plotted on the one figure with automatic legend annotations (updating parameter values), latex and tex labels, and export to excel charts, clipboard, jpg, pdf, .

  • Platform: Matlab, Scripts

It calculate the arithmetic code of a string of char, subject to an alphabet "A" and a probability distribution "P". http://en.wikipedia.org/wiki/Arithmetic_coding.

  • Platform: Matlab, Scripts

Computers, the restless machines with unprecedented precision are helpers to human beings at many tasks, these days. Almost any challenge involving heavy-calculation from predicting population growth to modeling complex space objects requires computing power of today. Math software is still the 'king of software products' as it allows for calculations required in any aspect of modern life. However, often math software is bulky, overloaded with useless 'features' and requires reading 300-pages manual before attempting to use it. Introducing SLGallery, the unique probability distribution calculation toolbox intended to bring straightforward and easy-to-use approach to math software! SLGallery is an innovative product allowing mathematicians, economists, financial analytics, - virtually anyone who is into serious calculation and...

  • Platform: Win2000, Windows Server, WinOther

Creates a 1,2 or 3 dimensional probability distribution supported on user-supplied lattice points subject to linear and moment constraints. A trite financial example is provided..

  • Platform: Matlab, Scripts

This program finds efficient/inefficient correlated equilibria that maximize/minimize weighted sum of the payoffs in a two player normal form game max/min w*U1(P)+(1-w)*U2(P) s.t. P is correlated equilibrium where U1 and U2 are given n-by-m matrices of payoffs of two players. Algorithm builds the linear inequalities that represent the rationality constraints for two players. The constraint matrix A is constructed so that if P is the probability distribution over joint actions, and if X=P(:), the correlated equilibrium constraints are A * X <= 0. The program also plots the convex hull of found correlated equilibria together with the convex hull of given Nash equilibria which can be solved for by Gambit.

  • Platform: Matlab, Scripts

Do you want to see how random numbers from different probability distribution are generated? The Random Numbers Generator and Statistics Set can show you how. It contains practical and well explained examples of: 1. Log Normal Distribution 2. Log Pearson Type III Distribution 3. Normal Distribution 4. Chi-Square Distribution 5. F-Distribution 6. Student-T Distribution 7. Multivariate Standard Normal Distribution8. Gamma Distribution 9. Beta Distribution 10. Hypergeometric Distribution 11. Triangular Distribution12. Binomial Distribution. Excel VBA Models - Home. Affordable learning tools in advanced Excel VBA modeling in finance, statistics, and mathematics through our VBA source code tutorials.

  • Platform:

SUMPDF Probability distribution of the sum of distributions [S,P,C]=SUMPDF(X1,P1,N1,X2,P2,N2,...) will return the distribution of the sum of distribution P1, at values at X1, N1 times plus the distribution P2, at values in X2, N2 times... The output vectors, S, P, and C, are respectively the list of unique totals, probability of yielding that sum, and the count distribution of obtaining that sum among all combinations. Example: Two distributions, on different intervals, each repeated a different number of times. What is the distribution of the possible outcomes? Plot the outcome, showing the distribution.

  • Platform: Matlab, Scripts

This m-file returns the beta-binomial probability density function with parameters N, A and B at the values in X. Note: The density function is zero unless N, A and B are integers. The Beta-binomial distribution is used to model the number of successes in n binomial trials when the probability of success p is a Beta(a,b) random variable. The extreme flexibility of the shape of the Beta distribution means that it is often a very fair representation of the randomness of p. A variable with a Beta-binomial distribution is distributed as a binomial distribution with parameter p, where p is distribution with a beta distribution with parameters a (alpha) and b (beta).

  • Platform: Matlab, Scripts

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 file Following Olivier B. comments (that I acknowledge for his comments), I performed cross-comparisons with randp. gDiscrPdfRnd is faster with a ratio that increases with the number of number, i.e. for about 3 times faster for 10^6 numbers to over 40 times faster for 10^7 numbers. Moreover, for large random arrays, randp seriously surcharges the RAM memory, whereas gDiscrPdfRnd limits thememory use to what is essential (tanksto the coding).

  • Platform: Matlab, Scripts

Distribution Explorer is a mixed C++ and C# application that allows you to explore the properties of various statistical distributions, & calculate the Cumulative Distribution Function CDF, Probability Distribution Function PDF, or quantiles/percentiles.
Distribution Explorer License - OSI-Approved Open Source.

  • Platform: WinOther
  • specmark
  • License: Freeware
  • Price: 0.00
  • Rating

SpecMark (spectral Markov) is a method for calculating the joint probability distribution over species in a regulatory network..

  • Platform: WinOther

It is a matlab function that codes a string of char with Arithmetic coding. res=arithmetic_code(alphabet, distr_pr, string) 'alphabet' is a vector that contains the char used in the string 'string'; 'string' is the string to codify; 'distr_pr' is the probability distribution of the alphabet's elements..

  • Platform: Matlab, Scripts

Sorts input matrix of data so that each column is re-ordered by user-specified criteria. Options are (1) sort data by signal width (2) sort data by energy localization (3) sort data by dissimilarity of data to a normal probability distribution. The default option is to return all 3 options, as vectors of indices so that W(:,Iw), for example, gives the data ordered by signal width. [varargout]=sortwvfrms(W,varargin) INPUT W: A matrix whose columns are time series to be sorted. sortopt: (Optional) A string. Can be either 'width', 'erg' or 'pdf'. Default is all three. plotopt: (Optional) A string.

  • Platform: Matlab, Scripts

THE ONLY RANDOM NUMBERS GENERATOR WHERE YOU DEFINE THE PROBABILITY DISTRIBUTION -Thanks to Jose Manuel Noriega AntudoT-a (good friend and teacher) for all. -Thanks to all those people who sent me their ideas and comments. Ignacio del Valle Alles.

  • Platform: Matlab, Scripts

Classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item.

This software is a Java implementation of a maximum entropy classifier. Maximum entropy models are otherwise known as conditional loglinear models, and are essentially equivalent to multiclass logistic regression models (though parameterized slightly differently, in a way that is advantageous with sparse explanatory feature vectors).

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  • Platform: WinOther

Full featured FREEWARE application. MCM ALchimia is the most simple, fast, friendly and multilingual Software to perform Monte Carlo simulations, focused mainly on the estimation of measurement uncertainties. This standalone application arrives to fill a gap in regard to the simulation with random variables specifically on the uncertainties of trial calculation, containing specifications that make it unique on the Internet. It does not use Mathlab, nor Excel, nor any 3rd part software. Just MCM ALchimia. You just need to put your math model, asign a probability distribution to each one, throw the simulation and wait just a few seconds to get, not only several hundred thousand of samples, but also sub-simulations, for each individual variable, obtaining values such as "sensitivity coefficients", which allow the analyst to find main...

  • Platform: Win2000, Win7 x64, Windows 7, WinOther, WinVista

This function calculates the probability under the normal distribution curve, plots the graph and the area calculated. Normaldistribution calculating the area under a normal distribution curve from -ve infinity upto point x. Input: x : point on the normal distribution curve mean : mean of the normal distribution curve sigma : standard deviation of the normal distribution curve (hint: normal dist mean=0, sigma=1) plotting: Plot the calculated area if plotting = 1 Output: area under the curve. Example: x=[-20:20] % your data points sigma=length(x)/2/3.5 % PDF width is 3.5 sigma mean=0 % mean between -20 and 20 normaldistribution(0, mean, sigma,1) % Calculate area from -inf to 0 Author: Sherif Omran University and university hospital of Zurich Date: May 2009 Part of my phd thesis: email: sherif.

  • Platform: Matlab, Scripts
  • EasyFit
  • License: Shareware
  • Price: 449
  • Rating

EasyFit allows to easily and quickly select the probability distribution which best fits to data, reducing your analysis times by 70-95% over manual methods. It includes numerous features designed to save you time, prevent analysis errors, and help you make better business decisions. An integrated environment provided by EasyFit includes data management, analysis, and reporting capabilities ensuring the high quality of your projects. EasyFit requires only a basic knowledge of statistics. The key feature of EasyFit is the ability to automatically fit over 40 distributions to sample data and select the best model (advanced users can apply the manual fitting feature).

  • Platform: Win2000, Windows Server, Windows Vista, WinOther

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 the negative binomial distribution, a discrete probability distribution. Syntax: function negbins(x,y,n) Input: x,y - pair of interested terms to expand n - coefficient/power to increase the binomial theorem (it is a negative integer that file automatically gives) Output: - result of the negative binomial series sum - vector of the negative binomial series (optional).

  • Platform: Matlab, Scripts

Also known as Plinko, this script simulates balls bouncing left and right, with equal probability, as they travel downwards. At the bottom, they are collected into bins with the bar chart illustrating the number of balls in a particular bin. This is a fun example of the binomial distribution, which can clearly be seen forming in the bar chart..

  • Publisher: Michael
  • Date: 01-05-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

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