Discrete Random Variables
Heteroskedasticity is a sequence of random variables, that could affect statistical data if they have large variances.It will need and use the 'regstats' and 'chi2cdf' functions from the Statistics Toolbox. Requirements: - MATLAB 7.7 or higher - MATLAB's Statistics Toolbox
Platforms: Windows, Mac, *nix, Matlab, BSD Solaris
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BPSK SYSTEM SIMULATIONWe simulate the generation of random variables r0 and r1, which constitutes the input to detector. We begin by generating a binary sequence of 0?s and 1?s that occur with equal probability and are mutually (statistically) independent. For this, we use a Random number...
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The EJS Radioactive Decay Distribution Model simulates the decay of a radioactive sample using discrete random events. It displays the distribution of the number of events (radioactive decays) in a fixed time interval. If each event is assumed to occur independently and spontaneously with a...
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The EJS Radioactive Decay Model simulates the decay of a radioactive sample using discrete random events. It displays the number of radioactive nuclei as a function of time. You can change the initial number of nuclei and the decay constant as well as changing the plot to a semi-log plot. The...
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The EJS Radioactive Decay Events Model simulates the decay of a radioactive sample using discrete random events. It displays the number of events (radioactive decays) as a function of time in a given time interval. You can change the initial number of nuclei, the decay constant and the time...
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This function generates random numbers distributed according to the Laplace distribution using the Probability integral transformation
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Heteroskedasticity is a sequence of random variables, that could affect statistical data if they have large variances.It will need and use the 'regstats' and 'chi2cdf' functions from the Statistics Toolbox.
|License: Freeware||Size: 716.8 KB||Download (18): Heteroskedasticity Test for Statistics and Probability Download|
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...
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NOTE: Though I have uploaded this toolbox, I have no contribution in this work. Programming and research in this field has been done by students given belowKapil Gulati, Marcel Nassar, Aditya Chopra, Marcus DeYoung, Arvind Sujeeth, and Navid Aghasadeghi.It is composed of various functions used to...
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Matlab Toolbox for Submodular Function Optimization (v 2.0)By Andreas Krause (firstname.lastname@example.org).Slides, videos and detailed references available at http://www.submodularity.orgTested in MATLAB 7.0.1 (R14), 7.2.0 (R2006a), 7.4.0 (R2007a, MAC), 7.9.0 (MAC)This toolbox provides functions for...
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Belief networks (also called Bayesian networks or causal networks) are a representation for independence amongst random variables for probabilistic reasoning under uncertainty. The purpose of this tool is to illustrate how probabilities are updated given new evidence in a belief network, and...
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Prepare to achieve the GRE scores you need to get into your top choice schools. Get ready for the test day with this most comprehensive app on GRE Math : Data Analysis Review. Features include: HIGHEST QUALITY and QUANTITY Over 270 questions and 27 revision notes in all just for Data...
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fminconset: Solves constrained minimization problems where someof the variables are restricted to discrete values. (Mixed IntegerNonlinear optimization). Based on fmincon from Optimization Toolboxversion 2.0.
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Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination.To walk through the code and for a thorough description, refer to A. Meucci (2009), "Review...
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libDAI is a handy C++ library designed to offer implementations of various inference methods for discrete graphical models. libDAI supports arbitrary factor graphs with discrete variables; this includes discrete Markov Random Fields and Bayesian Networks.
The library is targeted at researchers....
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NIST benchmark for random stream checking. Includes source and object code. Visual C++ 2008 project paramaters included. Implemets the following tests: Approximate Entropy, Block Frequency, Cumulative Sums, Discrete Fourier Transform, Linear Complexity, Longest Run Of Ones, Rank, Overlapping...
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Routine accepts input variables, binary target variable (0/1) and a small number of training parameters, and returns discovered coefficients for a single neuron.Technical details:Learning rule: incremental delta ruleLearning Rate: constantTransfer function: logisticExemplar presentation order:...
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Random Password Generator is designed to create a much securer environment for either important data storage or privacy protection. It is able to generate highly secure random passwords that are almost impossible to cyber crime. This smart and secure password generator also includes a useful...
Platforms: Windows, Windows 8, Windows 7, Windows Server
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Random List Generator is a Windows application developed to generate very quickly a list of thousands random numbers. Random List creator enables you to create a number as longer as 18 digits and making the list of these 5000 numbers. The list generating tool is very powerful tool and being...
|License: Freeware||Size: 960.41 KB||Download (261): Random List Generator Download|
Random number Software is an powerful & easy to operate program to generate a list of random numbers. Random number Software is cultivated on windows platform, software supported on all the Windows OS versions. Software also provides you the feature to create list of sequential numbers and...
|License: Freeware||Size: 960.41 KB||Download (209): Random Number Software Download|