# Variance scripts download

[## variance script overview « 1 - 30 » of 109 scripts

]336 | 336 |

... is the timeseries.m is the window length.v is the **variance.Aslak** Grinsted 2005 Demands ... MATLAB Release: R14 ...

... The function is ideal for estimating the **variance** of ... signal affected by Gaussian noise. Demands ... MATLAB 7.5 or higherLimitations:• EVAR only works with evenly-gridded data in one ... and higher dimensions. ...

... Calculates the **Variance** Ratio Test of ... time series, with or without the heteroskedasticity correction. Demands ... MATLAB Release: R13 ...

... This functions returns the **variance** of vector elements.Input must be unidimensional real arrays ... the length of vectors).This implementation run faster than MATLAB cov function and ...

... These functions implement the converging **variance** test, which is one of the oldest tests. ... MATLAB Release: R13 ...

... These files are an adaptation of the ANOVA **variance** component estimators to be used in the analysis ... of genetic data, specifically Cockerham ... 1969 Theta. Formulae were adapted from Sokal and Rohlf ... 1995 Biometry, and test files from the book are given as reference. Demands ...

... Open source project for the development of PHP code for Bioinformatics. Classes are under development in ... try to rewrite other bio projects into PHP, as for example bioPerl or BioPhyton. ... developed to allow registered users to modify the code. Additionally, minitools ... Protein sequences, Restriction digest of DNA, translation and reverse translation, Microarray analysis, Protein sequence information... ...

... functions from the Financial Toolbox to perform **mean-variance** portfolio optimization and generate an efficient frontier. The graphical ... interface is written using the Java Swing libraries, and the underlying mathematics is performed ... MATLAB-generated Java component. Plots of graphs are generated by MATLAB ... and shown in the Java GUI by printing the MATLAB figure to memory ...

... This fuction uses the **"variance** ratio test ... associated functions to compute the **variance** ratio ,the tests statistics and the corresponding p-values based ... on randomization (simulation). Demands ...

... simple function that should come with the one present on this site ... **Variance** Ratio Test) which couldn ...

... Computes the interrelationships between two sets of variables made on the same objects without data. The ... canonical correlation is the maximum correlation between linear functions of the two vector variables. Linearity is important ... because the analysis is performed on the correlation matrix which reflect linear relationships.After this there may ...

... function [ALEstruct]=ale(f,fs,munoise,sigmanise,mulms,ncoef,dur)function to perform adaptive line enhancement using LMS algorithm ... REQUIRES FILTER DESIGN TOOLBOX, SIGNAL PROCESSING TOOLBOX INPUTSf ... mean and **variance** of white noisemulms, value of the step parameter in the LMS ... copy of the desired signal in the LMS adaptive scheme. Note ...

... applications based on relational data. Application powered with ContourCube allows users to create numerous nice-formed screen and ... printable reports in ... pivot with sub-second response times and without additional server.ContourCube enables you to embed reach Business Intelligence functionality ...

... This script generates artificial spatial data using ... first order spatial autoregressive process ... The process isX ... 10x10, periodic spatial pattern, with normal error distribution, and ... **variance** of SIGMA, the command isspatialPatternAR1([10,10],PHI,SIGMA)or equivalently,spatialPatternAR1 ...

... Computes the interrelationships between two sets of variables made on the same objects without data. The ... canonical correlation is the maximum correlation between linear functions of the two vector variables. Linearity is important ... because the analysis is performed on the correlation matrix which reflect linear relationships.After this there may ...

... class library of common digital signal processing functions. There is also ... Float to integer conversion with rounding ... Integer-Float and Float-Integer conversion: 8, 12, 16, 24, 32 bits ... interpolation with FFT, FIR and IIR filters ...

... This m-file deals with the principal component solution of the factor model thru the ... without the matrix of data ... **covariance** matrix), the latent root criterion, and uses the varimax ... factor rotation. Optionally, it also gives the residual matrix, which results of the difference between the original ...

... Single sample Geary goodness-of-fit hypothesis test.H=GTEST(X,ALPHA) performs the Geary test to determine whether the ... null hypothesis of composite normality PDF is ... reasonable assumption regarding the population distribution of ... with the desired significance level ALPHA.H indicates the result of the hypothesis test according ...

... class performs several types of numerical and statistical functions. Features ... -generates gaussian normal distributions, -does numerical integration of arbitrary functions, -generates random ... numbers with gaussian distributions, -provides ... number of standard statistical functions, e.g., mean, standard deviation, **variance,** etc., -has two different methods of ...

... .It needs to input the observed parameters among two possible options. Option ... multivariate observed F-statistic, numerator degrees of freedom, denominator degrees of freedom, and significance ... lambda, number of variables, number of samples ... total number of data, and significance ...

... Performs the nonparametric squared ranks test on quality of **variance** for two samples. Based ... pp. 239-248. Uses normal approximation for for ... MATLAB fxn norminv or table if norminv unavailable ... Uses normal approximation if ties exist. Uses tabulated critical values from Conover if small samples sizes and ...

... Discriminant Analysis is ... separating distinct sets of observations to previously defined groups; rather exploratory in nature, it is ... procedure. Here, we develop this technique considering normal populations with equal **covariance** matrices.So, prior to the Discriminant ... Multivariate Analysis of **Variance** to test any difference between the group ...

... Function JKNIFE computes values of user-defined scalar-, vector- or matrix-valued ... the number of rows in X.Addressing limitations of JACKKNIFE (Statistics Toolbox, v. ... which can be summarized with function JSTATS, calculating jackknife mean and **variance** estimates. ...

... perform several types of common calculations used in probabilistic analysis.It can calculate ... -Average **-Variance-Standard** deviation-Poisson density and distribution-Hypergeometric density and distribution-Binomial density and distribution-Normal density and distribution ... Gauss curve). It also has functions to calculate ... values in the areas under the normal curve of probability. ...

... This function computes the ... function by integrating the Normal distribution. It takes one paramter and calculates the right ... have the value of .5For an arbitrary Gaussian distribution with mean, mu, and **variance,** sigma ... 2, then the function is passed this form. ...

... scriptable spreadsheet program which provides both table-oriented sheets and support ... for complex mathematical formulas and statistics. KSpread's features include ... multiple chart formats for displaying data graphically ... over 100 formulas, including standard deviation, **variance,** present value of annuities ...

**Scripting variance programming** is written in computer programming languages that is typically interpreted and can be typed directly from a keyboard. Variance scripts are often distinguished from executable files. This variance scripts are safe to use virus free and spyware free.