Statistic Forecat

Monthly Sales Report - showing per-day statistic about sales within selected month.

Revision of the version inspired by Jason Breslau, through inspection of the list of special words from http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/funcalpha.html ://http://www.mathworks.com/access/hel...funcalpha.html which however also...

The NCG is a good statistic for block based watermarking which uses geometric warping. The NCG-strength (given by Lx and Ly) enables the estimation of the robustness of the NCG - x,y-cordinates to lossy compression. A higher strength yields a higher robustness. To embedd watermark bits the NCG -...


Platforms: Matlab

SpikeTrain is a GUI summarizing several functions for the analysis of electrophysiological data.It provides multiselection of data, so a whole bunch of data can be analyzed at once.For spike discrimination the user can select an upper and a lower threshold.Threshs can be set directly in the...


Platforms: Matlab

Consider a situation in which predicted probabilities of a given event of interest are estimated using two models that share all risk factors, except for one new marker. Let us categorize the predicted probabilities based on these two models into a set of clinically meaningful ordinal categories...


Platforms: Matlab

Fleiss'es kappa is a generalization of Scott's pi statistic, a statistical measure of inter-rater reliability. It is also related to Cohen's kappa statistic. Whereas Scott's pi and Cohen's kappa work for only two raters, Fleiss'es kappa works for any number of raters giving categorical ratings...


Platforms: Matlab

Nash-Sutcliffe model accuracy statistic. Nash-Sutcliffe coefficient is an indicator of the model?s ability to predict about the 1:1 line between observed and simulated data.The Nash-Sutcliffe coefficient is calculated as: sum(Qobs - Qsim)^2NS = 1 - ---------------------------- sum(Qobs -...


Platforms: Matlab

Function BSTRAG builds on an earlier FEX submission, BSTRAP - itself an extension of BOOTSTRP (Statistics Toolbox, v. 5-6) - by implementing 'groupwise' operation, wherein rows of x (,y,z,..) are split into several groups (having n1, n2, n3, .. rows), marked by distinct values of grouping...


Platforms: Matlab

Performs neural spike pattern analysis on extracellular potentials acquired with TDT's System3 and OpenEx software.More on current functions:All-Order Inter-Spike Interval Histogram.Inter-Spike Interval Histogram for any order or combination of orders.First-Order Inter-Spike Interval...


Platforms: Matlab

Analysis of Means (ANOM) is a statistical procedure for troubleshooting industrial processes and analyzing the results of experimental designs with factors at fixed levels. ANOM is an alternative to ANOVA for a fixed effects model. Unlike ANOVA only determines if there is a significant difference...


Platforms: Matlab

Converts normally distributed z-statistic to one- or two-tailed p-valueby integrating the standard normal pdf. If no "tails" value is specified, z2p computes the two-tailed value by default. The output p is the same size as z, which can be a scalar, vector, or matrix. Inputs:z: normally...


Platforms: Matlab

Speech analysis and parameter extractionShort-term analysis, frames and windowsTime-domain analysis: energy, zero-crossings, statistic parameters, autocorrelationFrequency-domain analysis: spectra and spectrogramsCepstral analysisLinear prediction analysisPitch and formant estimationto run the...


Platforms: Matlab

it's useful to see how the mean and the standard deviation change when you use more samples to calculate it.


Platforms: Matlab

it's useful to see how the mean and the standard deviation change when you use more samples to calculate it.The Array can contain NaN's but it's slower than cumstat (File ID: #26899) because it contain a for-loop


Platforms: Matlab

This function provides a Wilcoxon-type test for trend across a group of three or more independent random samples.Assumptions:- Data must be at least ordinal- Groups must be selected in a meaningful order i.e. orderedIf you do not choose to enter your own group scores then scores are allocated...


Platforms: Matlab

Statistic fundamentals of he Correspondence Analysis (CA) is presented in the CORRAN m-file you can find in this FEX author''s page. CA can be extended, a this m-file makes, to more than two categorical variables, called Multiple Correspondence Analysis (MCA).Karl Pearson (1913) developed the...


Platforms: Matlab

ordfilt3: Performs 3D order-statistic filtering on 3D volumetric data.The memory and computational overhead for such an operation can be extremely demanding. Here - memory efficiency has been achieved with a recursive-split algorithm, allowing for far larger volumes and/or window sizes to be...


Platforms: Matlab

Other hypothesis used with the Mauchly's sphericity test is on the orthonormalized contrasts,H0: Cd-deOaoSC = s^2I , where C is any full-rank (p-1) x p matrix of orthonormal contrasts.A is the nonorthonormalized contrasts matrix.C = GMO(Ad-deOao) is a (p-1) doOCo p column-orthonormal matrix (by...


Platforms: Matlab

The Area under the Receiver Operating Characteristic is a common summary statistic for the goodness of a predictor in a binary classification task. It is equal to the probability that a predictor will rank a randomly chosen positive instance higher than a randomly chosen negative one.I was...


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