Standard DeviationΒΆ

Standard Deviation algorithm computes the standard deviation of the input data sequence.

Input Parameters

Parameter Type Constraint Description Remarks
\(Y\) \(Y \in \mathbb R^N\) \(N \in \mathbb{N}\) Input data vector of length \(N\) None

Output Parameters

Parameter Type Constraint Description Remarks
\(\sigma\) \(\sigma \in \mathbb R\) None Standard deviation of data values available in \(Y\) The result is sensitive to improper values such as ‘nan’, ‘inf’, ‘null, ‘etc.