Compute maximum likelihood estimates of R, considered as the parameter of interest. Maximum likelihood estimates of the nuisance parameter are also supplied.
MLEs(ydat, xdat, distr)
data vector of the sample measurements from Y.
data vector of the sample measurements from X.
character string specifying the type of distribution assumed for Y and X. Possible choices for
The two independent random variables Y and X with given distribution
distr are measurements of a certain characteristics on two different populations.
For the relationship of the parameter of interest (R) and nuisance parameters with
the original parameters of
distr, look at the details in
Vector of estimetes of the nuisance parameters and the R quantity (parameter of interest), respectively.
Kotz S, Lumelskii Y, Pensky M. (2003). The Stress-Strength Model and its Generalizations. Theory and Applications. World Scientific, Singapore.
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