Compute the variance of a one-dimensional ndarray.
Chi-squared distribution variance.
Beta distribution variance.
Calculate the variance of a strided array using a two-pass algorithm.
Calculate the variance of a strided array.
Gamma distribution variance.
Inverse gamma distribution variance.
Normal distribution variance.
Degenerate distribution cumulative distribution function (CDF).
Chi-squared distribution cumulative distribution function (CDF).
Gamma distribution cumulative distribution function (CDF).
Return an object mapping supported data type strings to data type objects.
Calculate the variance of a strided array using a two-pass algorithm.
Calculate the variance of a strided array.
Test if an input value is a supported ndarray data type.
Student's t distribution variance.
Standard library statistical functions.
Degenerate distribution quantile function.
Base multidimensional array.
Return the description for a provided data type.
Return the number of bytes per element for a provided underlying ndarray data type.
Compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.
Return the data type string associated with a supported ndarray data type value.
Create a zero-filled generic array.