Results 21 to 30 of about 21,193 (336)

Statistical inference of the Burr Type III distribution under joint progressively Type-II censoring

open access: yesScientific African, 2023
The joint censoring technique is essential when the study's objective is to assess the relative benefits of products in relation to their service times.
Amal S. Hassan   +2 more
doaj   +1 more source

Inference for the Two Parameter Reduced Kies Distribution under Progressive Type-II Censoring

open access: yesMathematics, 2020
In this paper, we obtained several recurrence relations for the single and product moments under progressively Type-II right censored order statistics and then use these results to compute the means and variances of two parameter reduced Kies ...
Mansour Shrahili   +3 more
doaj   +1 more source

Pareto Type-II Model under Type-I Progressive Hybrid Censoring: Bound Lengths

open access: yesAustrian Journal of Statistics, 2020
The Pareto Type-II model is considered here from which, the observable is to be predicted by using Bayesian approach. The Bayes prediction bound lengths are obtained for Type-I progressive hybrid censored data.
Gyan Prakash
doaj   +1 more source

Type-II stepwise progressive censoring

open access: yesCommunications for Statistical Applications and Methods, 2016
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
Mohammad Bayat, Hamzeh Torabi
openaire   +2 more sources

Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications

open access: yesJournal of Mathematics, 2021
This paper describes two prediction methods for predicting the non-observed (censored) units under progressive Type-II censored samples. The lifetimes under consideration are following a new two-parameter Pareto distribution.
Hanan Haj Ahmad
doaj   +1 more source

Hierarchical Bayes Estimation of Reliability Indexes of Cold Standby Series System under General Progressive Type II Censoring Scheme [PDF]

open access: yes, 2016
In this paper, hierarchical Bayes approach is presented for estimation and prediction of reliability indexes and remaining lifetimes of a cold standby series system under general progressive Type II censoring scheme.
Barot, D. R., Patel, M. N.
core   +2 more sources

Estimations of Modified Lindley Parameters Using Progressive Type-II Censoring with Applications

open access: yesAxioms, 2023
This study addresses the estimation problems of the modified Lindley distribution using a progressive Type-II censoring plan. Using the maximum likelihood and maximum product of spacing and Bayesian estimation methods, the unknown parameter, reliability,
Refah Alotaibi   +2 more
doaj   +1 more source

On Entropy Estimation of Inverse Weibull Distribution under Improved Adaptive Progressively Type-II Censoring with Applications

open access: yesAxioms, 2023
This article utilizes improved adaptive progressively Type-II censored data to estimate the entropy of the inverse Weibull distribution. Rényi, q, and Shannon entropy measurements are used to define entropy to achieve this objective.
Farouq Mohammad A. Alam, Mazen Nassar
doaj   +1 more source

Beyond first-order asymptotics for Cox regression [PDF]

open access: yes, 2015
To go beyond standard first-order asymptotics for Cox regression, we develop parametric bootstrap and second-order methods. In general, computation of $P$-values beyond first order requires more model specification than is required for the likelihood ...
Bellio, Ruggero, Pierce, Donald A.
core   +2 more sources

E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2017
This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter.
Rashad Mohamed EL-Sagheer
doaj   +1 more source

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