Results 261 to 270 of about 105,740 (327)
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An exponential characterization based on a type II censored sample
Statistics & Probability Letters, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu, Jian-Lun, Yang, Grace L.
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Quality and Reliability Engineering International, 2021
Process capability indices has been widely applied in industry to assess the performance of industrial processes. For the larger‐the‐better lifetimes of products, the lifetime performance index CL$C_L$ is commonly considered by industrial managers.
Mohammad Vali Ahmadi, M. Doostparast
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Process capability indices has been widely applied in industry to assess the performance of industrial processes. For the larger‐the‐better lifetimes of products, the lifetime performance index CL$C_L$ is commonly considered by industrial managers.
Mohammad Vali Ahmadi, M. Doostparast
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Estimation in two sample type II censoring models
Statistics & Probability Letters, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mehrotra, K. G., Schick, A., Susarla, V.
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Two-sample prediction for progressively Type-II censored Weibull lifetimes
Communications in Statistics - Simulation and Computation, 2016ABSTRACTPrediction on the basis of censored data has an important role in many fields. This article develops a non-Bayesian two-sample prediction based on a progressive Type-II right censoring scheme. We obtain the maximum likelihood (ML) prediction in a general form for lifetime models including the Weibull distribution.
S. Ghafouri +2 more
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Efficacy Evaluation Under Type II Censored Plan with Postclassified Samples
Journal of Biopharmaceutical Statistics, 2003The main theme of this paper is efficacy evaluation under Type II censoring. Observations from a clinical trial are often postclassified into two groups in an effort to properly assess the efficacy of an intervention on each group. Thus, the numbers of observed lifetimes in the two groups are random outcomes. Parameter estimation and hypotheses testing
Siu-Keung, Tse +2 more
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American Journal of Mathematical and Management Sciences, 2020
In this article, we combine the adaptive progressive Type-II censoring model with the general progressive model, to obtain the estimates for the parameters of Gompertz distribution, and the Bayesian prediction intervals.
M. Abu-Moussa +2 more
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In this article, we combine the adaptive progressive Type-II censoring model with the general progressive model, to obtain the estimates for the parameters of Gompertz distribution, and the Bayesian prediction intervals.
M. Abu-Moussa +2 more
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A New Two Sample Generalized Type-II Hybrid Censoring Scheme
American Journal of Mathematical and Management Sciences, 2021Generalized hybrid censoring schemes, proposed by Chandrasekar et al. (Naval Research Logistics, 51(7), 994–1004, 2004), have several advantages over the conventional hybrid censoring schemes.
Osama Abo-Kasem, Ahmed Elshahhat
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Fisher Information in Type II Progressive Censored Samples
Communications in Statistics - Theory and Methods, 2008Recently, progressively Type II censored samples have attracted attention in the study and analysis of life-testing data. Here we propose an indirect approach for computing the Fisher information (FI) in progressively Type II censored samples that simplifies the calculations.
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Advances on Methodological and Applied Aspects of Probability and Statistics, 2019
In this paper, we derive the maximum likelihood estimators of the location and scale parameters of a Laplace distribution based on progressive Type-II right censored samples.
R. Aggarwala
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In this paper, we derive the maximum likelihood estimators of the location and scale parameters of a Laplace distribution based on progressive Type-II right censored samples.
R. Aggarwala
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Fisher information and optimal schemes in progressive Type-II censored samples
Model Assisted Statistics and Applications, 2007This article deals with two results for the computation of the Fisher information (FI) in progressive Type-II censored data; the results simplifies the calculation of the FI in any progressive censored data. The FI is presented as a sum of the FI in the smallest order statistics.
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