Results 301 to 310 of about 21,193 (336)

Nonparametric Inferential Issues in Progressive Type-II Censoring

2014
Nonparametric statistical tests are reviewed. This includes precedence-type tests as well as test for hazard rate ordering.
N. Balakrishnan, Erhard Cramer
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Bayesian Inference for Progressively Type-II Censored Data

2014
Bayesian approaches for progressively Type-II censored data are reviewed. The presentation includes, e.g., exponential, Weibull, Pareto, and Burr distributions.
N. Balakrishnan, Erhard Cramer
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Adaptive Progressive Type-II Censoring and Related Models

2014
The notion of adaptive progressive Type-II censoring is introduced in detail and the relation to some other models is illustrated. The discussion includes, e.g., nonadapative progressive Type-II censoring, the Ng–Kundu–Chan model, and progressive censoring with random removals.
N. Balakrishnan, Erhard Cramer
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Bias corrected MLEs under progressive type-II censoring scheme

Journal of Statistical Computation and Simulation, 2016
ABSTRACTCensoring frequently occurs in survival analysis but naturally observed lifetimes are not of a large size. Thus, inferences based on the popular maximum likelihood (ML) estimation which often give biased estimates should be corrected in the sense of bias.
Mahdi Teimouri, Saralees Nadarajah
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Point Prediction from Progressively Type-II Censored Samples

2014
Several prediction problems for progressively Type-II censored data are considered. This includes prediction of progressively censored lifetime as well as prediction of future observations. After introducing several concepts of point prediction, applications to exponential, extreme value, normal, and Pareto distributions are presented.
N. Balakrishnan, Erhard Cramer
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On estimating exponential parameters with general type II progressive censoring

Journal of Statistical Planning and Inference, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Progressive type II censored order statistics from exponential distributions

Statistics, 2001
In the model of progressive type II censoring, point and interval estimation as well as relations for single and product moments are considered. Based on two-parameter exponential distributions, maximum likelihood estimators (MLEs), uniformly minimum variance unbiased estimators (UMVUEs) and best linear unbiased estimators (BLUEs) are derived for both ...
N. Balakrishnan, E. Cramer, U. Kamps, N. Schenk   +3 more
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On Progressively Type-II Censored Two-parameter Rayleigh Distribution

Communications in Statistics - Simulation and Computation, 2015
Recently, Rayleigh distribution has received considerable attention in the statistical literature. In this article, we consider the point and interval estimation of the functions of the unknown parameters of a two-parameter Rayleigh distribution. First, we obtain the maximum likelihood estimators (MLEs) of the unknown parameters.
Tanujit Dey, Sanku Dey, Debasis Kundu
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Inference for the Type II generalized logistic distribution under progressive Type II censoring

Journal of Statistical Computation and Simulation, 2007
Recently, in order to get closer agreement at the extremes, skewed distributions are playing an important role in various research studies. The generalized logistic distribution (GLD) of Type II, which is indexed by one shape parameter, is introduced here to extend the scope of this distribution in some asymmetrical studies.
N. Balakrishnan, Ahmed Hossain
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Statistical inferences based on INID progressively type II censored order statistics

Annals of the Institute of Statistical Mathematics, 2017
The progressive type II censoring model for independent and nonidentical distributed random variables was introduced by \textit{N. Balakrishnan} and \textit{E. Cramer} [Ann. Inst. Stat. Math. 60, No. 1, 151--171 (2008; Zbl 1184.62071)]. In this model, a system of heterogeneous independent units are subjected to a statistical lifetime test, such that at
Razmkhah, M., Simriz, S.
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