[PDF] Top 20 Parameter estimation of the modified Weibull model based on grouped and censored data
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Parameter estimation of the modified Weibull model based on grouped and censored data
... complete data or grouped data. Tests on grouped data are more frequently, since they, generally, cost less and require fewer ... See full document
5
M estimator and D optimality model construction using orthogonal forward regression
... (OFR) model identification algorithm using D-optimality for model structure selection and is based on an M-estimators of parameter ...robust parameter estimation tech- nique to ... See full document
8
Bayesian and Non Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics
... inference based on n selected generalized order statistics (GOS) from inverse Weibull distribution (IWD), Bayesian and non-Bayesian approaches have been used to obtain the estimators of the parameters and ... See full document
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Comparison of the Bayesian Methods on Interval Censored Data for Weibull Distribution
... exponentiated Weibull distribution. Soliman et al. [7] estimated Weibull distribution by using maximum likelihood estimator and Bayesian approach followed by estimating the hazard and reliability ...the ... See full document
9
Maximum Likelihood Estimation of Parameters of Lomax Distribution Based on Progressive Type-II Hybrid Censoring Scheme.
... failing data drawn from busi- ...exponential, Weibull, or gamma distributions especially if the considered population under test by the experimenter comes from a heavy-tailed distribution, Bryson ... See full document
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Estimation of Stress-Strength Reliability For Weibull Distribution Based on Type-II Right Censored Ranked Set Sampling Data
... the estimation of stress-strength reliability 𝑅 = 𝑃(𝑋 < 𝑌) under the type-II right censored data when the distributions of both the stress and the strength are ...the estimation of 𝑅 ... See full document
26
On Maximum Likelihood Estimation for the Three Parameter Gamma Distribution Based on Left Censored Samples
... of estimation methods for three-parameter gamma model, althought Antle and Dumonceaux did not initially consider this dataset for an estimation method effectiveness ... See full document
17
Failure Process Modeling with Censored Data in Accelerated Life Tests
... is based on the unknown population ...function based on parameters, the ones that are most consistent with the observed samples will be ...likelihood parameter estimation is to determine the ... See full document
14
PARAMETER ESTIMATION OF THE HYBRID CENSORED LOMAX DISTRIBUTION
... the data under the assumption of exponential lifetime distribution of the experimental ...unknown parameter, without any formal proof. Fairbanks et al. (1982) modified slightly the proposition of ... See full document
19
Bayesian Inference of a Finite Mixture of Inverse Weibull Distributions with an Application to Doubly Censoring Data
... Rayleigh model based on progressively censored ...inverse Weibull distribution for type-II censored ...the censored sample. Shi and Yan (2010) studied the case of the two ... See full document
20
A modified Weibull distribution
... proposed model is derived as a limiting case of the Beta Integrated Model and has both the Weibull distribution and Type I extreme value dis- tribution as special ...The model can be ... See full document
6
Bayes Interval Estimation on the Parameters of the Weibull Distribution for Complete and Censored Tests
... a modified Weibull distribution based on a progressively Type-II censored ...parameters based on the s-normal approximation and log-transformed ...XII model based on ... See full document
12
Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics
... two-parameter Weibull distribution the joint density of the concomitants of GOS ’s for this subfamily of Morgenstern family have been ...Bayesian estimation are presented. Our applications of these ... See full document
15
Maximum Likelihood Estimation of the Parameters of Exponentiated Generalized Weibull Based on Progressive Type II Censored Data
... Generalized Weibull distribution were estimated using maximum likelihood estimation method via Expectation Maximization (EM) ...(observed data) m ...observed data, and also for the increasing ... See full document
8
Bayes parameter estimation for the bivariate Weibull model of Marshall-Olkin for censored data
... Industrial applications frequently require statistical procedures be applied to analyze life test data from various sources, particularly in situations where observations are limited. Th[r] ... See full document
19
Parameters Estimation Based on Progressively Censored Data from Inverse Weibull Distribution
... parameters estimation of inverse Weibull distribution in the frame work of progressively type ...the censored sample from a two parameters inverse ...proposed. estimation methods developed ... See full document
5
Bayes estimation for the parameters of the Weibull-Geometric distribution based on progressive first failure censored data
... type-II censored sample from a population with distribution function 1 − (1 − F(x)) k ...type-II censored order statistics can be extended to progressively first- failure censored order statistics ... See full document
12
Bayesian Approach in Estimation of Shape and Scale Parameter of Log-Weibull model
... Log-Weibull model is obtained when the logarithm of a nonnegative random variable follows the Weibull ...Log-Weibull model based on a complete sample under uniform ...real ... See full document
12
Process Capability Indices for Shape Parameter of Weibull Distribution
... in censored or truncated situations and many ...used Weibull distribution for drug molecules in vivo absorption ...of Weibull Model to describe the vacuum pulse osmotic dehy- dration of ... See full document
13
A comparison of MLE method and OLSE for the estimation of modified Weibull distribution parameters by using the simulation
... We are taken initial values α=1, β=1 and λ=1 for MLE with an error less than 0.0001 as a numerical Newton-Raphson method in this study. And by using the inversion of cumulative distribution function we can generate ... See full document
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