In statistics, the inverse Mills ratio, named after John P. Mills, is the ratio of the probability density function to the cumulative distribution function of a distribution. ==Uses== where α is a constant, ϕ denotes the standard normal density function, and Φ is the standard normal cumulative distribution function. The two fractions are the in

Found on

http://en.wikipedia.org/wiki/Inverse_Mills_ratio

Usually denoted l(Z), and defined by l(Z)=phi(Z)/PHI(Z), where phi() is the standard normal pdf and PHI() is the standard normal cdf. Contexts: econometrics

Found on

http://www.econterms.com/glossary.cgi?query=inverse+Mills+ratio

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