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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국통계학회 CSAM(Communications for Statistical Applications and Methods) CSAM(Communications for Statistical Applications and Methods) 제23권 제5호
- 발행연도
- 2016.9
- 수록면
- 385 - 397 (13page)
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The stress-strength models have been intensively investigated in the literature in regards of estimating the reliability = P (X > Y) using parametric and nonparametric approaches under different sampling schemes when X and Y are independent random variables. In this paper, we consider the problem of estimating when (X; Y) are dependent random variables with a bivariate underlying distribution. The empirical and kernel estimates of = P (X > Y), based on bivariate ranked set sampling (BVRSS) are considered, when (X; Y) are paired dependent continuous random variables. The estimators obtained are compared to their counterpart, bivariate simple random sampling (BVSRS), via the bias and mean square error (MSE). We demonstrate that the suggested estimators based on BVRSS are more efficient than those based on BVSRS. A simulation study is conducted to gain insight into the performance of the proposed estimators. A real data example is provided to illustrate the process.
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