Deviation

Occasionally I see a request for computation of a running, windowed standard deviation. This is easily accomplished using filter and the alternative formula for the standard deviation:std = sqrt((sum(x.^2) - n*xbar.^2)/(n-1)).Movingstd allows you to specify forward, backward or central windows of...

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

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

TimeComX is a small and portable award winning automation utility, that can execute various actions after specified time or by a lower deviation of network and processor usage activity. Its resource friendly and easy to operate but also powerful. Following actions are availabe: * Restart *...


Platforms: Windows

The standard deviation is displayed with a green bar, while today's downloads are shown using a red link crossing the graph.InstallationUnpack and upload it to the /wp-content/plugins/ directory.Activate the plugin through the 'Plugins' menu in WordPress. Requirements: - WordPress 2.5 or higher


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

It also allows setting the Search Criteria when defining a page/widget.InstallationUnpack and upload it to the /wp-content/plugins/ directory.Activate the plugin through the 'Plugins' menu in WordPress. Key features "dDeviantArt": - The ability to have Multiple Widgets predefined, This allows...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

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

The Toolbox forecasts the volatility of a (mxn) vector of data and from a variety of in-built / non-in-built GARCH models with various distributions, as well as the univariate RiskMetrics. The toolbox also estimates a number of Volatility Forecast Loss Functions and if selected Value-at-Risk for...


Platforms: Matlab

The GUI application plots VLE data of ethanol-water mixture at various pressures. Both Txy and xy diagrams can be plotted at the pressure value specified by the user. The Wilson model allows the program to take into account the deviation from ideal behavior in the liquid phase. User should enter...


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

Polar Parallel Coordinate Geometry (PPCG) plots standardardised time series data. Colour is used to demonstrate data through time; black being the oldest to white being the newest. 2 - 3 Std deviation warning/action limits are also highlighted by yellow/red respectively.


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

The result will be displayed in a matrix format.For uniform distributions,the values returned by the MATLAB function rand() are multiplied by (b-a), then added to a.For normal distributions the output of randn() is multiplied by the standard deviation (b), and then added to the desired to the...


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

For a spreadsheet with real valued data, this script calculates the mean, variance and standard deviation of each row, creating a new spreadsheet with the respective row statistics.


Platforms: Mac

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

Assume that you have a list of vectors v_1, v_2, v_3, ..., v_n and an equally sized list of vectors w_1, w_2, ..., w_n. A way to quantify how similar these lists are to each other is to compute the sum of the squared distances between the vectors: sum((w_1 - v_1)**2 + ... + (w_n - v_n)**2). In...


Platforms: *nix