1. Aalen, O.O., and Hoem, J.M. (1978). Random Time Changes for Multivariate Counting Processes. Scandinavian Actuarial Journal, 1978, 81-101. [ DOI:10.1080/03461238.1978.10419480] 2. Ahrari, V., Habibirad, A., and Baratpour, S. (2019). Exponentiality Test based on Alpha-Divergence and Gamma-Divergence. Communications in Statistics-Simulation and Computation, 48, 1138-1152. [ DOI:10.1080/03610918.2017.1406511] 3. Anderson, T.W., and Darling, D.A. (1954). A Test of Goodness of Fit. Journal of American Statistical Association, 49, 765-769. [ DOI:10.1080/01621459.1954.10501232] 4. Akritas, M.G. (1988). Pearson-Type Goodness-of-Fit Tests: the Univariate Case. Journal of the American Statistical Association, 83, 222-230. [ DOI:10.1080/01621459.1988.10478590] 5. Baratpour, S., and Habibirad, A. (2012). Testing Goodness-of-Fit for Exponential Distribution based on Cumulative Residual Entropy. Communications in Statistics-Theory and Methods, 41, 1387-1396. [ DOI:10.1080/03610926.2010.542857] 6. Baratpour, S., and Habibirad, A. (2016). Exponentiality Test based on the Progressive Type II Censoring via Cumulative Entropy. Communications in Statistics-Simulation and Computation, 45, 2625-2637. [ DOI:10.1080/03610918.2014.917673] 7. Breslow, N., and Crowley, J. (1974). A Large Sample Study of the Life Table and Product Limit Estimates under Random Censorship. The Annals of Statistics, 437-453. [ DOI:10.1214/aos/1176342705] 8. Chamany, A., and Baratpour, S. (2014). A Dynamic Discrimination Information based on Cumulative Residual Entropy and its Properties. Communications in Statistics-Theory and Methods, 43, 1041--1049. [ DOI:10.1080/03610926.2012.729639] 9. Chen, Y.Y., Hollander, M., and Langberg, N.A. (1982). Small-Sample Results for the Kaplan--Meier Estimator. Journal of the American Statistical Association, 77, 141-144. [ DOI:10.1080/01621459.1982.10477777] 10. Chen, Y.Y., Hollander, M., and Langberg, N.A. (1983). Testing Whether New is Better than Used with Randomly Censored Data. The Annals of Statistics, 11, 267-274. [ DOI:10.21236/ADA145060] 11. Choi, B., Kim, K., and Song, S. (2004). Goodness-of-Fit Test for Exponentiality based on Kullback--Leibler Information. Communications in Statistics, 33, 525-536. [ DOI:10.1081/SAC-120037250] 12. Csörgő, O., and Horváth, L. (1981). On the Koziol--Green Model for Random Censorship. Biometrika, 68, 391-401. [ DOI:10.1093/biomet/68.2.391] 13. Ebrahimi, n., Soofi, E.S., and Habibullah, M. (1992). Testing Exponentiality based on Kullback--Leibler Information. Journal of the Royal Statistical Society, 54, 739-748. [ DOI:10.1111/j.2517-6161.1992.tb01447.x] 14. Efron, B. (1967). The Two Sample Problems with Censored Data. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 4, 831-853. 15. Gurevich, G., and Davidson, A. (2008). Standardized Forms of Kullback--Leibler Information based Statistics for Normality and Exponentiality. Computer Modelling and New Technologies, 12, 14-25. 16. Hall, W.J., and Wellner, J.A. (1980). Confidence Bands for a Survival Curve from Censored Data. Biometrika, 67, 133-43. [ DOI:10.1093/biomet/67.1.133] 17. Hollander, M., and Pena, A. (1992). A Chi-Squared Goodness-of-Fit Test for Randomly Censored Data. Journal of the American Statistical Association, 87, 458-463. [ DOI:10.1080/01621459.1992.10475226] 18. Hollander, M., and Proschan, F. (1979). Testing to Determine the Underlying Distribution Using Randomly Censored Data. Biometrics, 393-401. [ DOI:10.2307/2530342] 19. Kaplan, E.l., and Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53, 457-481. [ DOI:10.1080/01621459.1958.10501452] 20. Kim, N. (2011). Testing Log Normality for Randomly Censored Data. The Korean Journal of Applied Statistics, 24, 883-891. [ DOI:10.5351/KJAS.2011.24.5.883] 21. Kim, N. (2012). Testing Exponentiality based on EDF Statistics for Randomly Censored Data when the Scale Parameter is Unknown. The Korean Journal of Applied Statistics, 25, 311-319. [ DOI:10.5351/KJAS.2012.25.2.311] 22. Kim, N. (2017). Goodness-of-Fit tests for Randomly Censored Weibull Distributions with Estimated Parameters. Communications for Statistical Applications and Methods, 24, 519-531. [ DOI:10.5351/CSAM.2017.24.5.519] 23. Kim, N. (2019). Tests based on EDF Statistics for Randomly Censored Normal Distributions when Parameters are Unknown. Communications for Statistical Applications and Methods, 26, 431-443. [ DOI:10.29220/CSAM.2019.26.5.431] 24. Kolmogorov, A.N. (1933). Sulla Determinazione Empirica di une Legge di Distribuzione. 25. Giornale del l'Intituto Italiano degli Attuari, 4, 83-91. 26. Koziol, J.A. (1980). Goodness-of-Fit Tests for Randomly Censored Data. Biometrika, 67, 693-696. [ DOI:10.1093/biomet/67.3.693] 27. Koziol, J.A. (2009). The Concordance Index C and the Mann--Whitney Parameter Pr$(X> Y)$ with Randomly Censored Data. Biometrical Journal: Journal of Mathematical Methods in Biosciences, 51, 467-474. [ DOI:10.1002/bimj.200800228] 28. Koziol, J.A., and Green, S.B. (1976). A Cramer-von Mises Statistic for Randomly Censored Data. Biometrika, 63, 465-474. [ DOI:10.1093/biomet/63.3.465] 29. Kullback, S., and Leibler, R.A. (1951). On Information and Sufficiency. The Annals of Mathematical Statistics, 22, 79-86. [ DOI:10.1214/aoms/1177729694] 30. Lu, X., and Cheng, T. (2007). Randomly Censored Partially Linear Single-Index Models. Journal of Multivariate Analysis, 98, 1895-1922. [ DOI:10.1016/j.jmva.2006.11.008] 31. Meier, P. (1975). Estimation of a Distribution Function from Incomplete Observations. Journal of Applied Probability, 12, 67-87. [ DOI:10.1017/S0021900200047574] 32. Nair, v. (1981). Plots and Tests for Goodness of Fit with Randomly Censored Data. Biometrika, 68, 99-103. [ DOI:10.1093/biomet/68.1.99] 33. Omidi, F., Fakoor, V., and Habibirad, A. (2021). Goodness of Fit Test based on Information Criterion for Interval Censored Data. Communications in Statistics-Theory and Methods, 1-21. [ DOI:10.1080/03610926.2021.1931331] 34. Park, S., Rao, M., and Wan Shin, D. (2012). On Cumulative Residual Kullback--Leibler Information. Statistics and Probability Letters, 82, 2025-2032. [ DOI:10.1016/j.spl.2012.06.015] 35. Park, S., Noughabi, H., Alizadeh, A., and Kim, I. (2018). General Cumulative Kullback--Leibler Information. Communications in Statistics-Theory and Methods, 47, 1551-1560. [ DOI:10.1080/03610926.2017.1321767] 36. Rao, M., Chen, Y., Vemuri, B.C., and Wang, F. (2004). Cumulative Residual Entropy: A New Measure of Information. IEEE Transactions on Information Theory, 50, 1220-1228. [ DOI:10.1109/TIT.2004.828057] 37. Shannon, C.E. (1948). A Mathematical Theory of Communication. The Bell System Technical Journal, 27, 379-432. [ DOI:10.1002/j.1538-7305.1948.tb01338.x] 38. Shapiro, S.S., and Francia, R.S. (1972). An Approximate Analysis of Variance Test for Normality. Journal of the American Statistical Association, 67, 215-226. [ DOI:10.1080/01621459.1972.10481232] 39. Wang, Q., and Zheng, Z. (1997). Asymptotic Properties for the Semiparametric Regression Model with Randomly Censored Data. Science in China Series A: Mathematics, 40, 945-957. [ DOI:10.1007/BF02878674] 40. Zohrevand, Y., Hashemi, R., and Asadi, M. (2020). An Adjusted Cumulative Kullback--Leibler Information with Application to Test of Exponentiality. Communications in Statistics-Theory and Methods, 49, 44-60. [ DOI:10.1080/03610926.2018.1529243]
|