對於區間刪減數據下，一個無母數檢定方法來判斷p個生命時間的母體是否來自相同分配，而Sun有提出一些無母數檢定的方法來判斷p個生命時間的母體是否來自相同分配。在這篇論文裡，我們提出模擬方法來驗證Sun所提出的無母數檢定是否正確。而模擬方法的結果指出Sun所提出的檢定不是接近自由度p-1的卡方分配，而是相當接近自由度p-1的卡方分配乘上一常數。

A nonparametric test for the interval-censored failure time data is proposed in determining whether p lifetime populations come from the same distribution. For the comparison problem based on interval-censored failure time data, Sun proposed some nonparametric test procedures in recent year. In this paper, we present simulation procedures to verify the test proposed by Sun. The simulation results indicate that the proposed test is not
approximately Chisquare distribution with degrees of freedom p-1 but Chisquare distribution with degrees of freedom p-1 times a constant.

1. Introduction
2. Turnbull's algorithm
3. Generate discrete interval-censored data
4. A nonparametric test for interval-censored failure time data
5. Estimate of covariance matrix of nonparametric test statistics
5.1 Fisher information matrix under logistic model
5.2 Simple resampling method
5.3 Generalized log-rank test with multiple imputation
6. Simulation study
7. The comparison with the results derived by Sun
8. Conclusion
9. Reference

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