Standard Deviation Examples

This code calculates the Exponentially Weighted Moving Average Standard Deviation Exponentially weighted moving average (EWMA) standard deviation applies different weights to different returns. More recent returns have greater weight on the variance. The exponentially weighted moving average...

Fits a Gaussian curve to data points. You can specify your initial values for amplitude, mean and standard deviation, or it will guess them.

Fits Gaussian curve into pointsThe function fits Guassian probability density function into a set of points. Standard deviation and mean are returned.


Platforms: Matlab

This function generates an overlapping histogram of multiple populations. For a demo simply type "histn".SYNTAX: h=histn(Y,X,S)Y - Data array that is NxM where N is the number of groups and M is the number of measures within each group. Right now M has to be the same for each group.X - Optional...


Platforms: Matlab

WebServer Sentry allows monitoring of clients making requests of your web server.It has trigger points which you set that causes a change in colour if clients trend too high and the IP address is blocked. Code injection is detected and IP is also.Features:- Block SQL, Code Injection and Denial of...


Platforms: PHP

Growth Curve is a simple software which allows to build microorganism growth curves in the logarithmic scale. It estimates medium doubling time and it's standard deviation. All curves are proposed to be the duplications of one experiment.


Platforms: Mac

This is a command-line application that gives the mean and standard deviation at various site(s) for specified IMT(s), attenuation relationship(s), and for each earthquake rupture in one of three Earthquake Rupture Forecasts (ERFs). The ZIP file for the application contains an executable Java JAR...


Platforms: Mac

A collection of snippets I use to do a little math. Nothing fancy. The mission Fill a basket for all the math I use to do journalism and prevent myself from having to install numpy on my production server by boiling things down as much as possible. Contains functions that calculate: * Adjusted...


Platforms: *nix

The program transforms an input image using the differential box counting algorithm to a fractal dimension (FD) image, i.e. each pixel has its own FD. Then the user can select any region of interest in the generated FD image to estimate the corresponding mean, standard deviation and lacunarity.


Platforms: Matlab

The Image Processing toolbox toolbox is lacking a key feature I need, namely the support of all data types.Quick list of the source included:imhist_thresh.cpp: Generate histogram from data, # of bins based on unique values.imsmarthist_thresh.cpp: equalize data based on...


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

How can we characterize an image, and does the same characterization yield the same result? In this work, we study one possible characterization, distribution metrics. That is, we assume the desired region of interest has a different probability distribution from its corresponding background....


Platforms: Matlab

Compute European call option price using the Heston model and a conditional Monte-Carlo method [call_prices, std_errs] = Heston(S0, r, V0, eta, theta, kappa, strike, T, M, N)*******************************************************************************INPUTS: S0 - Current price of the underlying...


Platforms: Matlab

This file executes the non parametric Mann-Whitney-Wilcoxon test to evaluate the difference between unpaired samples. If the number of combinations is less than 20000, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation. The result is not...


Platforms: Matlab

INPUT:3 columns array.column1 (the left): sample ID or sample numbercolumn2 and column3: instrument1 and instrument 2 outoutGRAPH OUTPUT:Bland Altman scatter plot with mean difference line and +-2 SD lines.CONSOLE OUTPUT:diffmean = mean of the difference (the same you see in plot)sdev = standard...


Platforms: Matlab

PLOT_GAUSSIAN_ELLIPSOIDS plots 2-d and 3-d Gaussian distributions. H = PLOT_GAUSSIAN_ELLIPSOIDS(M, C) plots the distribution specified by mean M and covariance C. The distribution is plotted as an ellipse (in 2-d) or an ellipsoid (in 3-d). By default, the distributions are plotted in the current...


Platforms: Matlab

function y = laprnd(m, n, mu, sigma)%LAPRND generate i.i.d. laplacian random number drawn from laplacian distribution% with mean mu and standard deviation sigma.% mu : mean% sigma : standard deviation% [m, n] : the dimension of y.% Default mu = 0, sigma = 1.% For more information, refer to%...


Platforms: Matlab

Included in the first line of the script is a sample data set. The script will compute basic statistics on this data set:mean1-sigma (standard deviation)medianfirst quartile (25th percentile)second quartile (50th percentile)third quartile (75th percentile)kth percentileIQRSID


Platforms: Matlab

% pearspdf% [p,type,coefs] = pearspdf(X,mu,sigma,skew,kurt)%% Returns the probability distribution denisty of the pearsons distribution% with mean `mu`, standard deviation `sigma`, skewness `skew` and% kurtosis `kurt`, evaluated at the values in X.%% Some combinations of moments are not valid for...


Platforms: Matlab

QUADTREESEG - mex implementation (compile by mex quadtreeseg.cpp). Also an equivalent MATLAB implementation is present in zip file.Segments an image by recursively dividing it into four equal blocks if the variability in its pixels is greater than a certain amount. The image input is usually...


Platforms: Matlab