Computing and Intelligent

Update, 30 April 2009: OK, the good method mentioned in the links below, and in the final comment of mine below, is now implemented in LingPipe.

When computing the sample variance s numerically, the mean must be computed before s^2 can be determined. This requires storing the set of sample values. However, it is possible to ...

How to accurately compute running variance and standard deviation.

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Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms Gang Xiang, Martine Ceberio, and Vladik Kreinovich Department of Computer Science ...

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By far the most common formula for computing variance in a sample is: which gives an unbiased estimate of σ². Since samples are usually used to estimate ...

Computing Mean, Variance and Standard Deviation with Array Problem Statement The mean, variance and standard deviation of a set of data can be computed with the following ...

Algorithms for calculating variance play a major role in statistical computing. A key problem in the design of good algorithms for this problem is that formulas for the variance may ...

In probability theory and statistics, the variance is used as one of several descriptors of a distribution. It describes how far values lie from the mean.

What is known: computing population variance under interval uncertainty. In contrast to the population mean, computing therangeVofthe population variance is NP-hard.