MLEs | R Documentation |
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)
ydat |
data vector of the sample measurements from Y. |
xdat |
data vector of the sample measurements from X. |
distr |
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 loglik
.
Vector of estimetes of the nuisance parameters and the R quantity (parameter of interest), respectively.
Giuliana Cortese
Kotz S, Lumelskii Y, Pensky M. (2003). The Stress-Strength Model and its Generalizations. Theory and Applications. World Scientific, Singapore.
loglik
, Prob
# data from the first population Y <- rnorm(15, mean=5, sd=1) # data from the second population X <- rnorm(10, mean=7, sd=1.5) # vector of MLEs for the nuisance parameters and the quantity R MLEs(Y, X, "norm_DV")
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