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Univariate

Univariate statistics implement methods for the following data types:

  • Vector

  • Array of Double values

  • Collection which implements IEnumerable<Double> interface

    Exposes the enumerator, which supports a simple iteration over a non-generic collection.

    Examples: List<Double>, SortedList<Double>, ArrayList<Double>

  • Collection which implements IEnumerable<Nullable<Double>> interface

    Exposes the enumerator, which supports a simple iteration over a collection of a nullable double type.

    Examples: List<Nullable<Double>>, SortedList<Nullable<Double>>, ArrayList<Nullable<Double>>

In matrix (two-dimensional) case columns correspond to variables and rows correspond to observations, therefore in one-dimensional case we consider one variable observations. That is why this section of Discriptive Statistics is referred to as Univariate Descriptive Statistics.

Statistics

Select one of the topics below to learn more about Univariate Descriptive Statistics.

Sums

Means

Variances and Standard Deviations

Moments and Derivatives

Baskets

Correlation and Covariance

Normalizations

See Also