scholarly journals Estimation and Prediction for Pareto Distribution under Type-II Progressive Hybrid Censoring Scheme

2016 ◽  
Vol 155 (10) ◽  
pp. 9-15
Author(s):  
M. M. ◽  
A. Sadek ◽  
Marwa M. ◽  
M. Nagy
Keyword(s):  
Pareto Distribution ◽  
Type Ii ◽  
Hybrid Censoring ◽  
Estimation And Prediction ◽  
Censoring Scheme

scholarly journals Inference Based on Type-II Hybrid Censored Data from a Pareto Distribution

2020 ◽  
Author(s):  
Çağatay Çetinkaya
Keyword(s):  
Censored Data ◽  
Pareto Distribution ◽  
Bayes Estimation ◽  
Estimation Methods ◽  
Type Ii ◽  
Simulation Studies ◽  
Shape Parameters ◽  
Hybrid Censoring ◽  
Approximate Confidence Intervals ◽  
Censoring Scheme

The Pareto distribution takes part in life-testing experiments as a finite range distribution. In this study, inference studies for the scale and shape parameters of the Pareto distribution under type-II hybrid censoring scheme are considered. The main reason for choosing this censoring scheme is its advantage of guaranteeing at least particular failures to be observed by the end of the experiment. Maximum likelihood and Bayes estimation methods are used with their approximate confidence intervals. Proposed estimation methods are compared numerically based on simulation studies. A numerical example is also used to illustrate the theoretical outcomes.

Statistical Inference and Optimum Life Testing Plans Under Type-II Hybrid Censoring Scheme

2018 ◽  
Vol 5 (4) ◽  
pp. 679-708
Author(s):  
Tanmay Sen ◽  
Yogesh Mani Tripathi ◽  
Ritwik Bhattacharya
Keyword(s):  
Statistical Inference ◽  
Type Ii ◽  
Life Testing ◽  
Hybrid Censoring ◽  
Censoring Scheme

Parameter estimation of power Lomax distribution based on type-II progressively hybrid censoring scheme

2018 ◽  
Vol 12 (18) ◽  
pp. 879-891
Author(s):  
Claudio C. Kandza-Tadi ◽  
Leo O. Odongo ◽  
Romanus O. Odhiambo
Keyword(s):  
Parameter Estimation ◽  
Type Ii ◽  
Hybrid Censoring ◽  
Lomax Distribution ◽  
Censoring Scheme

scholarly journals Estimating E-Bayesian of Parameters of Inverse Weibull Distribution Using an Unified Hybrid Censoring Scheme

2021 ◽  
pp. 113-122
Author(s):  
Shahram Yaghoobzadeh Shahrastani ◽  
Iman Makhdoom
Keyword(s):  
Monte Carlo Simulation ◽  
Real Data ◽  
Bayesian Estimator ◽  
Type I ◽  
Type Ii ◽  
Estimation Of Parameters ◽  
Data Set ◽  
Hybrid Censoring ◽  
Inverse Weibull Distribution ◽  
Censoring Scheme

The combination of generalization Type-I hybrid censoring and generalization Type-II hybrid censoring schemes, scheme creates a new censoring called a Unified hybrid censoring scheme. Therefore, in this study, the E-Bayesian estimation of parameters of the inverse Weibull (IW) distribution is obtained under the unified hybrid censoring scheme, and the efficiency of the proposed method was compared with the Bayesian estimator using Monte Carlo simulation and a real data set.

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