Testing for simultaneous vicariance across comparative phylogeographic data sets is a notoriously difficult problem hindered by mutational variance, the coalescent variance, and variability across pairs of sister taxa in parameters that affect genetic divergence. We simulate vicariance to characterize the behaviour of several commonly used summary statistics across a range of divergence times, ...

The variance of the performance of a continuous speech recognition system subjected to replica utterances of the same sentence spoken by the same speaker has been investigated. In an experiment with three di erent speech recognition systems in three different languages with two di erent grammar conditions it is shown that the sentence word error rate has a variance that can be described in term...

We outline the use and evaluation of a video presentation about variance covariance developed to motivate students process topics enhance their skills. structure content present data an study. Students in different subjects who must pass statistics courses (N = 114) participated online survey with randomized controlled design repeated measurement. Results indicate that watched significantly imp...

When the received data are fractionally sampled, the magnitude and phase of most linear time-invariant FIR communications channels can be estimated from second-order output-only statistics. We present a general cyclic correlation matching algorithm for known order FIR blind channel identification that has closed-form expressions for calculating the asymptotic variance of the channel estimates. ...

Linear functions of Nei's genetic-distance statistic are calculated frequently in the literature of population genetics. Variance estimates for these linear functions are either not presented or incorrectly calculated. Part of the problem stems from the common assumption that distance statistics are independent random variables. This assumption is not generally correct. We describe methods for ...

Most analysis of U -statistics assumes that data points are independent or stationary. However, when we analyze network data, these two assumptions do not hold any more. We first define the problem of weighted U -statistics on networked data by extending previous work. We analyze their variance using Hoeffding’s decomposition and also give exponential concentration inequalities. Two efficiently...