265
Views
5
CrossRef citations to date
0
Altmetric
Review Articles

The analysis of mixed interval-censored and complete data

&
Pages 145-163 | Received 14 Mar 2014, Accepted 15 Aug 2014, Published online: 13 Dec 2014

References

  • Balakrishnan, N., Aggarwala, R. (2000). Progressive Censoring: Theory, Methods and Applications. Boston, MA: Birkhäuser.
  • Banerjee, A., Kundu, D. (2008). Inference based on type-II hybrid censored data from a Weibull distribution. IEEE Transactions on Reliability 57:369–378.
  • Chen, L., Sun, J. (2010). A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model. Computational Statistics and Data Analysis 54:1109–1116.
  • Cook, R.J., Zeng, L., Lee, K.A. (2008). A multistate model for bivariate interval-censored failure time data. Biometrics 64:1100–1109.
  • Escobar, L.A., Meeker, W.Q. (1999). Statistical prediction based on censored life data. Technometrics 41:113–124.
  • Ghosh, S. (2010). An imputation-based approach for parameter estimation in the presence of ambiguous censoring with application in industrial supply chain. The Annals of Applied Statistics 4:1976–1999.
  • Gomez, G., Calle, M.L., Oller, R., Langohr, K. (2009). Tutorial on methods for interval-censored data and their implementation. Statistical Modelling 9:259–297.
  • Hawkes, A.G., Jalali, A. (2006). Parameter estimation and censored lives. Journal of Communications in Statistics-Theory and Methods 35:1791–1802.
  • Hossain, A.M., Zimmer, W.J. (2003). Comparison of estimation methods for Weibull parameters: Complete and censored samples. Journal of Statistical Computation and Simulations 73:145–153.
  • Huang, J. (1996). Efficient estimation for the proportional hazards model with interval censoring. Annals of Statistics 24:540–568.
  • Jiang, N. (2006). The moment invariance criterion and its application to the incomplete data with Weibull distribution (in Chinese). In: Proceedings of 10th Congress of Reliability Committee of Chinese Society for Aeronautics and Astronautics, Beijing, China.
  • Kendell, P.J., Anderson, R.L. (1971). An estimation problem in life-testing. Technometrics 13:289–301.
  • Kong, D., Cui, L., Zhao, X. (2015). The analysis of alternative interval-censored and complete data. Quality Technology and Quantitative Management 12(4): 533–556.
  • Krishnamoorthy, K., Lin, Y. (2010). Confidence limits for stress-strength reliability involving Weibull models. Journal of Statistical Planning and Inference 140:1754–1764.
  • Kundu, D. (2008). Bayesian inference and life-testing plan for the Weibull distribution in presence of progressive censoring. Technometrics 50:144–154.
  • Lai, C.D., Xie, M. (2006). Stochastic Ageing and Dependence for Reliability. New York: Springer.
  • Lam, K.F., Xu, Y., Cheung, T.L. (2010). A multiple imputation approach for clustered interval-censored survival data. Statistics in Medicine 29:680–693.
  • Park, J.I., Bae, S.J. (2010). Direct prediction methods on lifetime distribution of organic light-emitting diodes from accelerated degradation tests. IEEE Transactions on Reliability 59:74–90.
  • Rubin, D.B., Schenker, N. (1986). Multiple imputation for interval estimation from simple random samples with ignorable nonresponse. Journal of the American Statistical Association 81:366–374.
  • Sun, J. (2006). The Statistical Analysis of Interval-Censored Failure Time Data. New York: Springer.
  • Taghipour, S., Banjevic, D. (2011). Trend analysis of the power law process using expectation maximization algorithm for data censored by inspection intervals. Reliability Engineering and System Safety 96:1340–1348.
  • Tan, Z.B. (2009). A new approach to MLE of Weibull distribution with interval data. Reliability Engineering and System Safety 94:394–403.
  • Tanner, M.A., Wong, W.H. (1987). An application of imputation to an estimation problem in grouped lifetime analysis. Technometrics 29:23–32.
  • Tanner, M.A. (1991). Tools for Statistical Inference: Observed Data and Data Augmentation Methods. New York: Springer-Verlag.
  • Wei, G.C. G., Tanner, M.A. (1991). Applications of multiple imputation to the analysis of censored regression data. Biometrics 47:1297–1309.
  • Xiao, X., Hu, Q., Yu, D., Xie, M. (2014). Study of an imputation algorithm for the analysis of interval-censored data. Journal of Statistical Computation and Simulation 84–83:447–490.
  • Yu, D., Dai, S.S. (1996). Study on the synthetic evaluation method for the storage reliability of missile system (in Chinese), In: Academy of Mathematics and System Science, Chinese Academy of Science, Beijing, P. R. China. Research Report.
  • Zhang, W., Zhang, Y., Chaloner, K., Stapleton, J.T. (2009). Imputation methods for doubly censored HIV data. Journal of Statistical Computation and Simulation 79:1245–1257.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.