Homogeinity

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). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

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). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

The homogeneity of variances test is a useful tool in many scientific applications. Boos and Brownie (2004) and Conover et al. (1981) give a broad review.Here, we developed an m-file as an alternative to the homogeinity of variances test considering the modification of the Bartlett's test... Platforms: Matlab

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). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

In order to run this m-file it is necessary to download the fractrimmeanfile you can find in the URL address:http://www.mathworks.com/matlabcentral/fil...53-fractrimmeanThe bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and... Platforms: Matlab