Browse > Article
http://dx.doi.org/10.5351/CKSS.2006.13.2.441

Information Loss from Type I versus Type II Censoring  

Lim, Jo-Han (Department of applied statistics, Yonsei University)
Song, Hyun-Seok (Department of applied statistics, Yonsei University)
Lee, Sung-Im (Department of Information Statistics, Dankook University)
Publication Information
Communications for Statistical Applications and Methods / v.13, no.2, 2006 , pp. 441-448 More about this Journal
Abstract
If the completely observed data are assumed to have full information, the censoring causes the loss of information. Previous studies have introduced the indices of information loss via measuring relative changes between the data with censoring and without censoring. In this paper, the comparisons are made for the information loss between type I and type II censoring in two sample problems.
Keywords
Information loss; Kendall's tau; Partial likelihood;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ebrahimi, N. and Soofi, E.S. (1990). Relative information loss under type II censored exponential data. Biometrika, Vol. 77, 429-435   DOI   ScienceOn
2 Tse, S.k. and Tso, G. (1996). Efficiencies of Maximum Likelihood Estimators under Censoring in Life Testing. Journal of Applied Statistics, Vol. 23, 515-524   DOI   ScienceOn
3 Turrero, A. (1989), On the relative efficiency of grouped and censored survival data. Biometrika, Vol. 76, 125-131   DOI   ScienceOn
4 Brooks, R.J. (1982), On the loss of information from censoring. Biometrika, Vol. 69, 137-144   DOI   ScienceOn
5 Chaloner, K. and Verdinelli, I. (1995), Bayesian Experimental Design: A Review. Statistical Science., Vol. 10, 237-304
6 Cox, D.R. (1975). Partial likelihood. Biometrika, Vol. 62, 269-276   DOI   ScienceOn
7 Lim, J., Lee, S. and Choi, H. (2006). Information loss from censoring in rank based procedures, preprint
8 Epstein, B. and Sobel, M. (1953). Life Testing. Journal of the American Statistical Association, Vol. 48, 486-502   DOI
9 Kendall, M.(1948). Rank Correlation Methods, Charles Griffin & Company Limited
10 Lindley, D.V. (1956), On a measure of the information provided by an experiment. Annals of Mathmatical Statistics., Vol. 27, 986-1005   DOI
11 Oakes, D. (1982). A concordance test for independence in the presence of censoring. Biometrics, Vol. 38, 451-455   DOI   ScienceOn
12 Shannon, C.E. (1948), A mathematical theory of communication. Bell System Technical Journal, Vol. 27, 379-423   DOI
13 Sundberg, R. (2001). Comparison of confidence procedures for Type I censored exponential lifetimes. Lifetime Data Analysis, Vol. 7, 393-413   DOI   ScienceOn
14 Tseng, S. and Hsu, C. (1994). Comparison of Type I- & Type-II accelerated life tests for selecting the most reliable product. IEEE Transactions on reliability, Vol. 43, 503-510   DOI   ScienceOn