ProbYX: Inference for the Stress-Strength Model R = P(Y<X)

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Confidence intervals and point estimation for R under various parametric model assumptions; likelihood inference based on classical first-order approximations and higher-order asymptotic procedures.

Author
Giuliana Cortese
Date of publication
2015-12-21 11:33:28
Maintainer
Giuliana Cortese <gcortese@stat.unipd.it>
License
GPL-2
Version
1.1-0

View on CRAN

Man pages

loglik
Log-likelihood of the bivariate distribution of (Y,X)
MLEs
Maximum likelihood estimates of the stress-strength model R =...
Prob
Estimation of the stress-strength model R = P(Y<X)
ProbYX-package
Inference on the stress-strength model R = P(Y<X)
ROC.plot
Estimated ROC curves
rp
Signed log-likelihood ratio statistic
rpstar
Modified signed log-likelihood ratio statistic
wald
Wald statistic

Files in this package

ProbYX
ProbYX/NAMESPACE
ProbYX/R
ProbYX/R/ProbYX.R
ProbYX/MD5
ProbYX/DESCRIPTION
ProbYX/man
ProbYX/man/rpstar.Rd
ProbYX/man/rp.Rd
ProbYX/man/ProbYX-package.Rd
ProbYX/man/ROC.plot.Rd
ProbYX/man/loglik.Rd
ProbYX/man/wald.Rd
ProbYX/man/MLEs.Rd
ProbYX/man/Prob.Rd