Average Disposable Incomes

Program Payments - the system of exchange of the electronic messages (ED) between Handle of federal exchequer and Managers of the not tax incomes also provides: Import both conversion of the payables and summary registry of federal exchequer from files of the exchange format (*.arj) in the... Platforms: Windows

Installation - Unpack in your modules folder (usually /sites/all/modules/) and enable under Administer > Site Building > Modules. Requirements: - Drupal 5.x/6.x Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Calculates the average log-spectral distance between CLEAN and NOISY signals. It has the capability of calculating this distance for a specified sub-band as well. This measure is used for evaluation of processed speech quality in comparison to the original speech. Platforms: Matlab

This routine computes the fft of the input signal and removes power at the annual (or any specified frequency) by replacing the power at that frequency with the average of terms on both sides; this is done in the sine and cosine terms so as to average the power and the phase. Platforms: Matlab

Very efficient moving average filter implemented using convolution.Usage:Smoothed Data = movave(Data Vector, Averaging Window Size in Samples)See also: slidefilter.m by the same author Platforms: Matlab

Calculates the average log-spectral distance between CLEAN and NOISY signals. Has the option of calculating this distance for speech active periods only. Also you can select a frequency range to study the distance in a sub-band. Platforms: Matlab

Moving average filter implemented using a "Sliding Sum" technique. Comparatively efficient.Usage:Smoothed Data = slidefilter(Data Vector, Sliding Interval Length in Samples)See also: movave.m Platforms: Matlab

This function computes at (Xi,Yi) unknown locations the IDW (w P=1, Q=1 yields interpolation at one point --> P>1, Q=1 yields interpolation at a vector of points --> P>1, Q>1 yields interpolation at a (ir)regular grid of points======================================== INPUTS Xc: (mandatory) [Nx1]... Platforms: Matlab

An example to price an Arithmetic Average fixed strike Call option in the Black-Scholes framework using Monte Carlo Control Variate Platforms: Matlab

This is the third part of the work to select measurements / measurement combination for selfoptimizing control. It uses aberage loss as the criterion instead of the worst case loss presented in the second part.Bidirection branch and bound (B3) is a very efficient BAB algorithm. In the first two... Platforms: Matlab

he code performs the simulation of time series with autoregressive fractionally integrated moving average (ARFIMA) models that generalize ARIMA (autoregressive integrated moving average) and ARMA autoregressive moving average models. ARFIMA models allow non-integer values of the differencing... Platforms: Matlab

It calculates the Tillson moving average. The user is able to change the parameters such as the smoothing sweeps and the volume factor Platforms: Matlab

CHEAPHLOCPLOT A free High-Low-Open-Close (and volume and moving average) plot to answer a CSSM thread ("Subject: on using matlab to plot stock charts"). Parm # Description Size Optional ------ ----------- ---- -------- 1 dates 1xN No 2 High prices 1xN No 3 Low prices 1xN No 4 Open prices 1xN No... Platforms: Matlab

gaussleg(f,a,b,ngp)I have found that this is on average +20 times faster than 'Gauss-Legendre' file(4560), and easier to read because it is shorter. 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 file contains three m-file which estimate the Value at Risk (VaR) of portfolio composed of two stocks price by using Exponentially Weighted Moving Average.the main function is 'ewmaestimatevar'. For estimating VaR you should use this function. This function also sketch related diagram. at... Platforms: Matlab

This sounds at first like a trivial task, but in practice took something that works correctly and faster for larger datasets (i.e. without using a simple find or related statement each time within a for loop). Thus I am submitting this here in case it might the time of anyone else with similar... Platforms: Matlab

A moving average implementation using build-in filter, which is very fast. Platforms: Matlab

knanmean(X,[dim]) returns the average of matrix X on dimension dim, treating NaNs as missing values.Contrarly to nanmean, works on n-dimensions matrices Platforms: Matlab

In terms of behavior, this is an alternative to filter() for a moving-average kernel, except that it is faster. The speed does not depend on the filter length.The code uses a variant of the cumsum-trick, although not the "garden variety" but in a way that does not run into numerical issues for... Platforms: Matlab