Standard Deviation Chart

Whereas standard deviation and variance are measures of absolute variance, the coefficient of variation is a measure of relative variance. This is generally useful to compare several data sets. It can also be used as a simple quality indicator. The definition used here is ratio of standard... Platforms: Matlab

The accompanying code is the simulation of a simplified version of a synfire chain in a cortical network, inspired by the ideas of Abeles (1982, 1991), Bienenstock (1995), and Diesmann et al. (1999). In a synfire chain groups, or pools, of neurons are connected in a feedforward arrangement. The... Platforms: Matlab

This function makes it easy to display a mesh directly above a grayscale image. The mesh can use any colormap and can be at variable heights above the image. The example, which requires the IPT, is the screenshot.help meshCanopy function meshCanopy: display a mesh above a grayscale image SCd... Platforms: Matlab

Plot Attenuation Relationship curves. Specifically, plot the mean, standard deviation, and probability of exceeding a given IML, or the IML that has a given probability of exceedance, (on the Y-axis) as a function of whatever independent parameters the Attenuation Relationship of interest depends... Platforms: Mac

Statistical Calculator calculates minimum, maximum, mean, median, mode, percentage unique, range, midrange, standard deviation, quartiles and more. Platforms: CGI and Perl

This m-file returns the mean, variance and standard deviation of the multinomial distribution with parameters N and P. The Expected Value (i.e., averages):Expected Value = m = Sum(Xi doOCo Pi), the sum is over all i's. Expected value is another name for the mean and (arithmetic) average.The... Platforms: Matlab

GAUSSian REALIZation of a random variable with standard deviation sigma and correlation length lambda Platforms: Matlab

Mean or standard deviation are usually computed for whole part of the analysed signal. However, sometimes we would like to know how this quantities are changing in the data flow. MEANSTDF compute the expected mean and standard deviation values using user defined window for every data position.... Platforms: Matlab

This file calculates the Sortino ratio of an investment asset, portfolio or strategy. The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target.... Platforms: Matlab

iReport is a powerful, intuitive and easy to use visual report builder/designer for JasperReports written in 100% pure java. This tool allows users to visually edit complex reports with charts, images, and subreports. iReport is integrated with leading open source chart libraries for java.... Platforms: Linux

Smart Gambler's Calculator allows one to calculate the main parameters for fixed-size and fixed-fraction betting. The main input parameters are grouped into several groups. The first group contains data about the properties of a single bet: probability of winning the bet, and the payoff... Platforms: Windows

This technique simply calculates variation based on a comparison of all abundances in a time series, and is free of assumptions of an underlying 'normal' distribution. It is more robust that the coefficient of variation CV and/or the standard deviation of log transformed abundances SDL, it is not... Platforms: Matlab

Iterative, robust fit of the exact equation of a circle to xy data. Outliers are identified based on multiples of current standard deviation and "set aside". The interative solution proceeds until there are no remaining outliers. Returns xo,yo,R, terminal outlier criterion, and residuals vector. Platforms: Matlab

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random... Platforms: Matlab

This function returns statistics on the intensity of an image, including the sum, mean, standard deviation, min and max. A rectangular region of interest can be selected by the user by using 'r' as the 2nd parameter. Alternatively, the region of interest can be more accurately defined by a... Platforms: Matlab

This function implemented by function 'copula111cGarch111VaR' and other related functions that will estimate the value at risk of portfolio.The marginal model are GARCH(1,1),GJR(1,1),AR(1)-GARCH(1,1)and AR(1)-GJR(1,1)the parameters and standard deviation of models will used for estimation of... Platforms: Matlab

Five methods for converting a signal to a binary representation. Methods outlined in Arthur Petrosian, "Kolmogorov Complexity of finite sequences and recognition of different preictal eeg patterns".Methods are:1. average method: sample assigned 1 if above the signal average2. modified zone... Platforms: Matlab

The purpose of this tutorial is to illustrate the usage of Kalman Filter by a simple example.The problem: Predict the position and velocity of a moving train 2 seconds ahead, having noisy measurements of its positions along the previous 10 seconds (10 samples a second).Ground truth: The train is... Platforms: Matlab

Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S... Platforms: Matlab

Smart Gambler's Calculator allows one to calculate the main parameters for fixed-size and fixed-fraction betting. The main input parameters are grouped into several groups. The first group contains data about the properties of a single bet: probability of winning the bet, and the payoff... Platforms: Palm,OS