Search Java Classes and Packages

Search Java Frameworks and Libraries

255581 classes and counting ...
Search Tips Index Status



#Com.numericalmethod.suanshu.stats.descriptive.moment Classes and Interfaces - 7 results found.
NameDescriptionTypePackageFramework
KurtosisKurtosis measures the "peakedness" of the probability distribution of a real-valued random Higher kurtosis means that there are more infrequent extreme deviations than frequent modestlyClasscom.numericalmethod.suanshu.stats.descriptive.momentSuanShu
MeanThe mean of a sample is the sum of all numbers in the sample, divided by the sample size.Classcom.numericalmethod.suanshu.stats.descriptive.momentSuanShu
MomentsCompute the central moment of a data set incrementally.Classcom.numericalmethod.suanshu.stats.descriptive.momentSuanShu
SkewnessSkewness is a measure of the asymmetry of the probability distribution.Classcom.numericalmethod.suanshu.stats.descriptive.momentSuanShu
VarianceThe variance of a sample is the average squared deviations from the sample mean.Classcom.numericalmethod.suanshu.stats.descriptive.momentSuanShu
WeightedMeanThe weighted mean is defined as ar{x} = frac{ sum_{i=1}^N w_i x_i}{sum_{i=1}^N w_i}Classcom.numericalmethod.suanshu.stats.descriptive.moment.weightedSuanShu
WeightedVarianceThe weighted sample variance is defined as follows.Classcom.numericalmethod.suanshu.stats.descriptive.moment.weightedSuanShu