Statistical inference for P(X

Let X and Y be two independent continuous random variables. We make statistical inference about theta=P(X<Y), the so-called stress-strength model, through the Edgeworth expansions and the bootstrap approximations of the Studentized Wilcoxon-Mann-Whitney statistics. Finite-sample accuracy of the confidence intervals is assessed through a simulation study. Two real data sets are analysed to illustrate our methods.

[1]  D. L. Hanson,et al.  Nonparametric Upper Confidence Bounds for Pr{Y < X} and Confidence Limits for Pr{Y < X} When X and Y are Normal , 1964 .

[2]  Friedrich Götze,et al.  An Edgeworth expansion for symmetric statistics , 1997 .

[3]  On Asymptotically Distribution-Free Confidence Bounds for P (X1≥X2) Based on Samples not Necessarily Independent , 1981 .

[4]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[5]  Confidence Intervals for Reliability From Stress-Strength Relationships , 1984, IEEE Transactions on Reliability.

[6]  K. Singh,et al.  On the Asymptotic Accuracy of Efron's Bootstrap , 1981 .

[7]  Pranab Kumar Sen,et al.  On Some Convergence Properties of UStatistics , 1960 .

[8]  Richard A. Johnson,et al.  3 Stress-strength models for reliability , 1988 .

[9]  Bernard Harris,et al.  A note on a difficulty inherent in estimating reliability from stress–strength relationships , 1983 .

[10]  V. V. Petrov Sums of Independent Random Variables , 1975 .

[11]  H. Tong,et al.  On The Estimation of Pr {Y ⩽ X} for Exponential Families , 1977, IEEE Transactions on Reliability.

[12]  Robert W. Mee Confidence Intervals for Probabilities and Tolerance Regions Based on a Generalization of the Mann-Whitney Statistic , 1990 .

[13]  I. Alberink A Berry–Esseen Bound for U-Statistics in the Non-I.I.D. Case , 2000 .

[14]  J. Chapelle,et al.  Derivation of a bioclinical prognostic index in severe head injury , 2004, Intensive Care Medicine.

[15]  Bing-Yi Jing,et al.  A Note on Edgeworth Expansions for U-Statistics under Minimal Conditions , 2005 .

[16]  J. N. Arvesen Jackknifing U-statistics , 1968 .

[17]  B. Efron Bootstrap Methods: Another Look at the Jackknife , 1979 .

[18]  Irwin Guttman,et al.  Statistical inference for Pr(Y < X): The normal case , 1986 .

[19]  F. Wilcoxon Individual Comparisons by Ranking Methods , 1945 .

[20]  F. Götze,et al.  The Edgeworth Expansion for $U$-Statistics of Degree Two , 1986 .

[21]  Douglas A. Wolfe,et al.  On Constructing Statistics and Reporting Data , 1971 .

[22]  Mitchell H. Gail,et al.  A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data , 1989 .

[23]  H. B. Mann,et al.  On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .

[24]  P. Hall The Bootstrap and Edgeworth Expansion , 1992 .

[25]  R. Newcombe,et al.  Confidence intervals for an effect size measure based on the Mann–Whitney statistic. Part 1: general issues and tail‐area‐based methods , 2006, Statistics in medicine.

[26]  Jalal Almhana,et al.  The generalized Gamma distribution: its hazard rate and stress-strength model , 1995 .

[27]  Distribution-free Confidence Intervals for Pr(X1 < X2) , 1987 .

[28]  Ramesh C. Gupta,et al.  RELIABILITY STUDIES OF THE SKEW-NORMAL DISTRIBUTION AND ITS APPLICATION TO A STRENGTH-STRESS MODEL , 2001 .

[29]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[30]  Z. Birnbaum,et al.  A Distribution-Free Upper Confidence Bound for $\Pr \{Y < X\}$, Based on Independent Samples of $X$ and $Y$ , 1958 .

[31]  R. Newcombe,et al.  Confidence intervals for an effect size measure based on the Mann–Whitney statistic. Part 2: asymptotic methods and evaluation , 2006, Statistics in medicine.