# Variability scripts download

[## variability script overview « 1 - 30 » of 12 scripts

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... This technique simply calculates variation based on ... comparison of all abundances in ... time series, and is free of assumptions of an underlying ... distribution.It is more robust that the coefficient of variation CV and ...

... This demo shows how to use MATLAB and the Statistics ... and Optimization Toolboxes to improve the design of an automobile ... Assessing the performance of the initial design- Designing experiments to investigate factors that influence performance ... Selecting factor settings that optimize performance- Running Monte Carlo simulations to forecast performance **variability-** ...

... One-way repeated measures ANOVA is used to analyze the relationship between the ... main advantage is controlling the disturbance variables or individual differences that could influence the dependent variable.In contrast ... to the independent groups ANOVA (between-subjects), the repeated measures procedure is generally more powerful ...

... This m-file computes an approximate determination coefficient ... for prediction, sayR2pred ... prediction error sum of squares, SST ... total sum of squares.This statistic gives some indication of the predictive capability ...

... This procedure is suffice to test for the homogeneity of ... The **variability** among the regression coefficients requires the F-statistic. If ... the null hypothesis is rejected, it can proceeds with ... multiple comparision test to determine which of the ... slopes differ from which other.If the null hypothesis is not rejected, the file test through ...

... to one the better the model prediction. This function interprets model predictability using residual error and observed ... means your model error is larger than the **variability** in your data, and should not be used ... no required toolboxes to compute this statistic. This function will take two sets of data indexed ... match up the two sets using the intersection function within MATLAB. The data sets ...

... Comparision of simple linear regression equations without data. As well as the before ... file arsos.m this procedure is suffice to test the homogeneity of ... not needs to input data, but the sample statistics as sample size, regression coefficients, means and variances. ...

... testing if all the p-axis have the same **variability** or eigenvalues. There are two tests to choose ... sphericity tests.Only needs to input the multivariate data matrix and the significance level ... It outputs the sample-size, the p-variables, the observed statistic used to test any deviation from an expected ...

... wrote this function exclusively for the common use of ... simple regression is required. Now this function checks the presence of outliers ... .This function computes ... Correlation coefficient- Regression Standard Error- Total **Variability-** **Variability** due to regression- Residual **Variability-** Student ...

... three-factor analysis of variance design in which there are repeated measures on only ... one of the factors. In repeated measures designs, the same participants are used in all conditions. ... an extreme matching. This allows for reduction of error variance due to subject factors.Fewer participants can be ...

... This toolbox has been developped primarily to study daily rainfall time series. There are three general drivers ... used to generate daily time series using ... .It includes also simple statistical tests ... and also analysis of intra-seasonal **variability** of rainfall time series. Are also included simple univariate stochastic ...

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