Normalizing constant: Difference between revisions

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==Definition and examples==

In [[probability theory]], a '''normalizing in is a rocessprocess ofpconstantof constant''' is a constant by which an everywhere non-negative function must be multiplied so the area under its graph is 1, e.g., to make it a [[probability density function]] or a [[probability mass function]].<ref>''Continuous Distributions'' at University of Alabama.</ref><ref>Feller, 1968, p. 22.</ref> For example, we have

:<math>\int_{-\infty}^\infty e^{-x^2/2}\,dx=\sqrt{2\pi\,},</math>