package statistics
- Alphabetic
- Public
- Protected
Type Members
- case class GaussianDistribution(mean: Double, sigma2: Double) extends Product with Serializable
- mean
Mean
- sigma2
Variance, where sqrt(sigma2) is the standard deviation aka Normal distribution
- class StatisticsGroup[T] extends StatisticsMonoid[T] with Group[T]
- See also
StatisticsSemigroup
- class StatisticsMonoid[T] extends StatisticsSemigroup[T] with Monoid[T]
- See also
StatisticsSemigroup
- class StatisticsRing[T] extends StatisticsGroup[T] with Ring[T]
- See also
StatisticsSemigroup
- class StatisticsSemigroup[T] extends Semigroup[T]
collect statistics about the calls to the wrapped Semigroup
Value Members
- object GaussianDistribution extends Serializable
- object GaussianDistributionMonoid extends Monoid[GaussianDistribution]
This monoid stems from the fact that if X and Y are independent random variables that are normally distributed, then their sum is also normally distributed, with its new mean equal to the sum of two means and variance equal to the sum of two variances.
This monoid stems from the fact that if X and Y are independent random variables that are normally distributed, then their sum is also normally distributed, with its new mean equal to the sum of two means and variance equal to the sum of two variances. http://en.wikipedia.org/wiki/Sum_of_normally_distributed_random_variables