# [−][src]Module statrs::statistics

Provides traits for statistical computation

## Enums

 RankTieBreaker Enumeration of possible tie-breaking strategies when computing ranks

## Traits

 CheckedEntropy The `CheckedEntropy` trait specifies an object that has a closed form solutions for its entropy wih possible failure modes CheckedMean The `CheckedMean` trait specifies that an object has a closed form solution for its mean(s) with possible failure modes CheckedMode The `CheckedMode` trait specifies that an object has a closed form solution for its mode(s) with a possible failure mode CheckedSkewness The `CheckedSkewness` trait specifies an object that has a closed form solution for its skewness(s) with possible failure modes CheckedVariance Entropy The `Entropy` trait specifies an object that has a closed form solution for its entropy Max The `Max` trait specifies that an object has a maximum value Mean The `Mean` trait specifies that an object has a closed form solution for its mean(s) Median The `Median` trait specifies than an object has a closed form solution for its median Min The `Min` trait specifies than an object has a minimum value Mode The `Mode` trait specififies that an object has a closed form solution for its mode(s) OrderStatistics The `OrderStatistics` trait provides statistical utilities having to do with ordering. All the algorithms are in-place thus requiring a mutable borrow. Skewness The `Skewness` trait specifies an object that has a closed form solution for its skewness(s) Statistics The `Statistics` trait provides a host of statistical utilities for analzying data sets Variance The `Variance` trait specifies that an object has a closed form solution for its variance(s). Requires `Mean` since a closed form solution to variance by definition requires a closed form mean.