Normal Probability Distribution

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...

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.

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

It is a normal sinus rythm of heart VI1 simulink,artificial heart,sinus beater greater,frequencies,FS=2FA=2FV.13 pics for sinus and 5 pics for A and V.


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

This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified.


Platforms: Matlab

Gibbs sampler for sampling from the invariance Normal Inverse Gaussian distribution. (Bayesian scheme of Karlis & Lillestol (2004))


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

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

This function generate random variables distributed according to a truncated normal distribution (or, by a translation, to a normal distribution with positive support). This kind of problem is especially interesting for generating variables with MCMC methods.We use a mixed accept-reject...


Platforms: Matlab

Compares probabilities of two binomial samples X, Y from a Bernoully experiments with probability p1 for set X and p2 for set YTest the null hypothesis H_0: p1 = p2 vs alternatives H_1: p1 > p2 H_2: p1 < p2 H_3: p1 != p2 Input: X - row of 0 or 1 Y - row of 0 or 1 Output: z - normal statistics...


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

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

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

Pre-Modified distribution of phpBB to ease users in creating phpBB powered forums. This distribution is dedicated to adding style, functionality and ease-of-use.All hacks and mods are pre-installed to save time in setting up your fourm.


Platforms: PHP