Empirical Probability Distribution

Distribution Guide is a program allowing to build various graphs of statistical distributions. It enables you to enter the parameters of the particular distribution and display the graphs of such functions as PDF, CDF, and others. Printing support is provided as well. Supported distributions: -...

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ASC presents, another gift for distribution business, especially Medicine Distributors. Feeding of sales and purchase made easy & fast recordable to deal clients as fast as possible with computerized bill printing. Comprehensive sales reports & summaries can be generated by Customer, Item,...


Platforms: Windows

All business of distribution will now have complete control over finance & inventory using ASC General Distribution System. It allows tracking records of physical stock, stock at salesman, stock at multiple locations, pending orders, along with integrated accounting options. Product expenses...


Platforms: Windows

This simple m-file plots the Soft Handover probability as a function of the Soft Handover Threshold value used in the UTRA Soft Handover Algorithm. The relationship has been dertived by taking the ratio between the Cell area where Soft Handovers are enabled and the total Cell area.


Platforms: Matlab

The Empirical Mode Decomposition is a technique to decompose a given signal into a set of elemental signals called Intrinsic Mode Functions. The Empirical Mode Decomposition is the base of the so-called d-deDUHilbert-Huang Transformd-deDt that comprises also a Hilbert Spectral Analysis and an...


Platforms: Matlab

This simple m-file plots the Soft Handover probability as a function of the Soft Handover Threshold value used in the UTRA Soft Handover Algorithm. The relationship has been dertived by taking the ratio between the Cell area where Soft Handovers are enabled and the total Cell area.


Platforms: Matlab

This code generates the electronic distribution for known chemical elements


Platforms: Matlab

09 Mar 2008 (Updated 08 Apr 2010)An estimate of probability density function of the given random data with bounded support.


Platforms: Matlab

bivnormcdf gives the bivariate normal probability.function p = bivnormcdf(a,b,rho)where rho is the correlation.


Platforms: Matlab

This function is to calculate the implied default probability from the DOC model. Source: Brockman and Turtle (2003).>Default probability (%)>[1] Barrier level (%)[2] Market value of the firm's assets (%)[3] Continuously compounded riskless rate of interest (%)[4] Asset volatility (%)[5] Firm's...


Platforms: Matlab

This m files is basically for the calculation of the Geometric Probability Law.In this file we change the value of p and k in it.


Platforms: Matlab

Two files:They find the Maximum Likelihood Estimators for the parameters of the Gumbel distribution for the minimum and the Gumbel distribution for the maximum.


Platforms: Matlab

A very simple program that gives Poisson probability P(m,n) where m is the average outcome and n is one certain outcome.


Platforms: Matlab

This m-file produces random numbers from the negative Binomial distribution using one of four methods and it tests which is faster.


Platforms: Matlab

The codes follow the paper Radkov P. and Minkova L. (2011) "Assessing bank's default probability using the ASRF model", Serials Publications' IJTMM, to derivation of implied default probabilities from the Vasicek model (asymptotic single risk factor model) and Basel 2 framework. The method for...


Platforms: Matlab

The probability of informed trading (PIN) denotes that probability that a counterparty in the trading process has superior information on the value of the asset exchanged. This is a key concept in empirical studies of market microstructure.The parameters needed to compute the PIN are obtained...


Platforms: Matlab

ALLFITDIST Fit all valid parametric probability distributions to data.[D PD] = ALLFITDIST(X) fits all valid parametric probability distributions to the data in column vector X, and returns a struct D of fitted distributions and parameters and a struct of objects PD representing the fitted...


Platforms: Matlab

Returns the distribution of the function FUN applied to the set of distributions given in VARARGINPDFFUN Apply a function to a set of probability distributions[S,P,C]=PDFFUN(FUN,VARARGIN) will return the distribution of the function FUN applied to the set of distributions given in VARARGIN The...


Platforms: Matlab

example: dismat(50,5,6) creates a 5x6 probability matrix and gives various parameters. dismata(a,r,c) a-matrix, r-row vector of x-values, c-column vector of y values. Freshers can see and appreciate the work load in the computation.


Platforms: Matlab