Advanced SearchSearch Tips
Type-II stepwise progressive censoring
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Type-II stepwise progressive censoring
Bayat, Mohammad; Torabi, Hamzeh;
  PDF(new window)
Type-II progressive censoring is one of the censoring methods frequently used in clinical studies, reliability trials, quality control of products and industrial experiments. Sometimes in Type-II progressive censoring experiments, the failure rate is low so the waiting time to observe the failure will be very long; however, the experimenter may have to terminate the experiment before a predetermined time. In this article, if two generalized types of Type-II progressive censoring are reminded, we then make some changes in the removal method of Type-II progressive censoring such that without reducing the deduction quality, the termination time of the experiment decreases. This can be done with decreasing withdraws throughout the steps of the experiment with a special reasonable method. A simulation study is done and the results are tabulated at the end of this article for a comparison between introduced method and Type-II progressive censoring.
Type-II stepwise progressive censoring;Type-II progressive censoring;maximum likelihood estimator;lifetime experiment;failure rate;test duration;
 Cited by
Bairamov I and Parsi S (2011). On flexible progressive censoring, Journal of Computational and Applied Mathematics, 235, 4537-4544. crossref(new window)

Balakrishnan N (2007). Progressive censoring methodology: an appraisal (with discussions), Test, 16, 211-296. crossref(new window)

Balakrishnan N and Aggarwala R (2000). Progressive Censoring: Theory, Methods, and Applications, Birkhauser, Boston.

Balakrishnan N, Burkschat M, Cramer E, and Hofmann G (2008). Fisher information based progres-sive censoring plans, Computational Statistics and Data Analysis, 53, 366-380. crossref(new window)

Balakrishnan N and Cramer E (2014). The Art of Progressive Censoring, Springer, New York.

Balakrishnan N, Cramer E, and Iliopoulos G (2014). On the method of pivoting the CDF for exact confidence intervals with illustration for exponential mean under life-test with time constraints, Statistics and Probability Letters, 89, 124-130. crossref(new window)

Burkschat M (2008). On optimality of extremal schemes in progressive Type-II censoring, Journal of Statistical Planning and Inference, 138, 1647-1659. crossref(new window)

Burkschat M, Cramer E, and Kamps U (2006). On optimal schemes in progressive censoring, Statistics and Probability Letters, 76, 1032-1036. crossref(new window)

Caroni C (2002). The correct ball bearings data, Lifetime Data Anal, 8, 395-399. crossref(new window)

Cohen AC (1963). Progressively censored samples in life testing, Technometrics, 5, 327-329. crossref(new window)

Cramer E (2014). Extreme value analysis for progressively Type-II censored order statistics, Communications in Statistics-Theory and Methods, 43, 2135-2155. crossref(new window)

Cramer E and Iliopoulos G (2009). Adaptive progressive Type-II censoring, Test, 19, 342-358.

Cramer E and Kamps U (2001). Estimation with sequential order statistics from exponential distributions, Annals of the Institute of Statistical Mathematics, 53, 307-324. crossref(new window)

Dey S and Dey T (2014). Statistical inference for the Rayleigh distribution under progressively Type-II censoring with binomial removal, Applied Mathematical Modelling, 38, 974-982. crossref(new window)

Ghitany ME, Al-Jarallah RA, and Balakrishnan N (2013). On the existence and uniqueness of the MLEs of the parameters of a general class of exponentiated distributions, Statistics, 47, 605-612. crossref(new window)

Ghitany ME, Tuan VK, and Balakrishnan N (2014). Likelihood estimation for a general class of inverse exponentiated distributions based on complete and progressively censored data, Journal of Statistical Computation and Simulation, 84, 96-106. crossref(new window)

Herd RG (1956). Estimation of parameters of a population from a multi-Censored Sample, Phd Thesis, Iowa State College, Ames, Iowa.

Kamps U and Cramer E (2001). On distributions of generalized order statistics, Statistics, 35, 269-280. crossref(new window)

Kang SB and Seo JI (2011). Estimation in an exponentiated half logistic distribution under progres-sively Type-II censoring, Communications for Statistical Applications and Methods, 18, 657-366. crossref(new window)

Kinaci I (2013). A generalization of flexible progressive censoring, Pakistan Journal of Statistics, 29, 377-387.

Krishna H and Kumar K (2013). Reliability estimation in generalized inverted exponential distribution with progressively Type II censored sample, Journal of Statistical Computation and Simulation, 83, 1007-1019. crossref(new window)

Lieblein J and ZelenM(1956). Statistical investigation of the fatigue life of deep-groove ball bearings, Journal of Research of the National Bureau of Standards, 57, 273-316. crossref(new window)

Ng HKT, Kundu D, and Chan PS (2009). Statistical of analysis of exponential lifetimes under an adaptive Type-II progressive censoring scheme, Naval Research logistics, 56, 687-698. crossref(new window)

Pakyari R and Balakrishnan N (2013). Goodness-of-fit tests for progressively Type-II censored data from location-scale distributions, Journal of Statistical Computation and Simulation, 83, 167-178. crossref(new window)

Raqab MZ (2002). Inference for generalized exponential distribution based on record statistics, Journal of Statistical Planning and Inference, 104, 339-350. crossref(new window)

Rezapour M, Alamatsaz MH, and Balakrishnan N (2013a). On properties of dependent progressively Type-II censored order statistics, Metrika, 76, 909-917. crossref(new window)

Rezapour M, Alamatsaz MH, Balakrishnan N, and Cramer E (2013b). On properties of progressively Type-II censored order statistics arising from dependent and nonidentical random variables, Statistical Methodology, 10, 58-71. crossref(new window)

Sarhan AM and Al-Ruzaizaa A (2010). Statistical inference in connection with the Weibull model using Type-II progressively censored data with random scheme, Pakistan Journal of Statistics, 26, 267-279.

Seo JI and Kang SB (2014). Predictions for progressively Type-II censored failure times from the half triangle distribution, Communications for Statistical Applications and Methods, 21, 93-103. crossref(new window)

Tse SK, Yang C, and Yuen HK (2000). Statistical analysis of Weibull distributed lifetime data under Type II progressive censoring with binomial removals, Journal of Applied Statistics, 27, 1033-1043. crossref(new window)