Abstract
In this article, we consider the problem of estimating R = P(X < Y), when X and Y have a bivariate normal distribution with common coefficients of variation. Parameters are estimated using the method of maximum likelihood, and an asymptotic confidence interval for R is derived. An example is provided to illustrate the procedure. Extensive simulation studies are carried out to examine the empirical coverage probability (ECP) and estimated mean length (EML) of the confidence interval for R.
Original language | English (US) |
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Pages (from-to) | 675-698 |
Number of pages | 24 |
Journal | Communications in Statistics Part B: Simulation and Computation |
Volume | 27 |
Issue number | 3 |
DOIs | |
State | Published - 1998 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Modeling and Simulation
Keywords
- Confidence interval
- Coverage probability
- Estimated mean length
- Taylor series