Variance

Tukey's test of additivity for a two-way classification analysis of variance. in matlab

The following Matlab project contains the source code and Matlab examples used for tukey's test of additivity for a two-way classification analysis of variance. . Tukey's test of additivity for a two-way analysis of variance design with replication (can be equal or unequal sample sizes) or without replication.

Power1var in matlab

The following Matlab project contains the source code and Matlab examples used for power1var. Besides the power estimation it makes the hypothesis testing concerning the one-sample variance. The function only needs the sample variance, the sample size, the hypothesized value and the significance level.

Computes a two-way multivariate analysis of variance for equal or unequal sample sizes. in matlab

The following Matlab project contains the source code and Matlab examples used for computes a two-way multivariate analysis of variance for equal or unequal sample sizes. . Computing of a two-way multivariate analysis of variance for equal or unequal sample sizes by the testing of the mean differences in several variables among several samples with two factors.

Generate random numbers uniformally in a given range or matching a given normal distribution in matlab

The following Matlab project contains the source code and Matlab examples used for generate random numbers uniformally in a given range or matching a given normal distribution . randMat: Generates a matrix of random numbers with uniform or normal distribution on a specified interval [a,b] or with a specific mean (a) and variance (b) for any number of a,b pairs.

Linear deming regression in matlab

The following Matlab project contains the source code and Matlab examples used for linear deming regression. [ b sigma2_x x_est y_est stats] = deming(x,y,lambda,alpha) deming() performs a linear Deming regression to find the linear coefficients:                     y = b(1) + b(2)*x under the assumptions that x and y *both* contain measurement error with measurement error variance related as lambda = sigma2_y/sigma2_x (sigma2_x and sigma2_y is the measurement error variance of the x and y variables, respectively).

Multivariate bootstrap bartlett´s test for the homogeneity of covariance matrices. in matlab

The following Matlab project contains the source code and Matlab examples used for multivariate bootstrap bartlett´s test for the homogeneity of covariance matrices. . The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling).

Truncated multivariate normal in matlab

The following Matlab project contains the source code and Matlab examples used for truncated multivariate normal.    X = rmvnrnd(MU,SIG,N,A,B) returns in N-by-P matrix X a    random sample drawn from the P-dimensional multivariate normal    distribution with mean MU and covariance SIG truncated to a    region bounded by the hyperplanes defined by the inequalities Ax<=B.

Reml based fitting of the linear mixed effects models with a simple variance covariance structure in matlab

The following Matlab project contains the source code and Matlab examples used for reml based fitting of the linear mixed effects models with a simple variance covariance structure . HPMIXED fits the linear mixed effects models (LME models) of the form: y = X*b + Z*u + e, and with a simple variance covariance structure (VC: variance components), by solving the Henderson's mixed model equations.

Correlation elimination in multivariate correlated data in matlab

The following Matlab project contains the source code and Matlab examples used for correlation elimination in multivariate correlated data . USAGE: [Y CovY] = Correlation_elimination( X ) INPUT: X denote multivariate original observations (correlated data) OUTPUT: Y denote the multivariate uncorrelated data CovY is the covariance of Y _________________________________________ Example: Transform the multivariate Poisson-Weibull (X) data to new uncorrelated data (Y) %Generating random data (using NORTA method) corrZ=[1 0.

Sum of conditional variance in matlab

The following Matlab project contains the source code and Matlab examples used for sum of conditional variance. Sum of Conditional Variance (SCV) is a new similarity metric for multi-modal image registration, eg CT-Fluoroscopy registration. This is derived using Joiint probability distribution but it is readily differentiable unline Mutual information (MI)

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