Standard Deviation Definition

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

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

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

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

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

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

This is a stats aggregation server. By default, Statsite flushes data to Graphite. Statsite is based heavily on Etsy's StatsD. Features Basic key/value metrics Send timer data, Statsite will calculate: - Mean - Min/Max - Standard deviation - All the above metrics for a specific percentile...


Platforms: *nix

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

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

The Math Homework Maker, is a FREE software which can solve all your homework. If you are a pupil or a student, needing help with your math homework or just want to check them, Then you must have this software. The Math Homework Maker covers everything you need, from elementary school up...


Platforms: Windows

StatsEasy Starter applet allows computing of Range, Median, Arithmetic, Geometric, and Harmonic means. Mean Deviation, Standard Deviation, Variance, Coefficient of Variance, Moments and Moments ratios for ungrouped data. If you have knowledge of basic to intermediate statistics this applet should...


Platforms: Any Browser + Java

Statistics::Descriptive is a Perl module of basic descriptive statistical functions. SYNOPSIS use Statistics::Descriptive; $stat = Statistics::Descriptive::Full->new(); $stat->add_data(1,2,3,4); $mean = $stat->mean(); $var = $stat->variance(); $tm = $stat->trimmed_mean(.25);...


Platforms: *nix