[PDF] Top 20 Bayesian Approach in Estimation of Shape and Scale Parameter of Log-Weibull model
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Bayesian Approach in Estimation of Shape and Scale Parameter of Log-Weibull model
... Parameter estimation of the Log–Weibull model can be viewed as a special case of the estimation for extreme value ...investigated estimation by the method of ...the ... See full document
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Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
... the shape parameter in the Nakagami ...unknown parameter of inverse Rayleigh distribution using Squared error and Linex loss ...the parameter using different loss functions via simulated and ... See full document
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Regression Modeling of Competing Risks Survival Data in the Presence of Covariates Based on a Generalized Weibull Distribution: A Simulation Study
... risks model in the presence of covariates when the causes of failures follow generalized Weibull ...the model through the scale parameter of this ...independent. Parameter ... See full document
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A COMPARATIVE ANALYSIS OF TWO-PARAMETER WEIBULL AND GENERALIZED WEIBULL MODELS WITH BAYESIAN ESTIMATIONS FOR MODELLING SURVIVAL DATA WITH INTERVAL CENSORING TO DETERMINATION OF AGE AT DEATH. CASE STUDY: DISCOVERED HUMAN REMNANTS FROM CEMETERY OF THE HISTORICAL SITE OF SHAHR-I-SOKHTA, ZABOL-IRANAbdolkarim Shadmehr, Ebrahim Hajizadeh*, Anoshirvan Kazemnejad, Ahmadreza Baqestani3, Moein YoosefiDOWNLOAD/VIEW
... The Weibull model is one of the most popular parametric models and two forms of it are among the most common ones, ...three-parameter model, generalized Weibull model, and a ... See full document
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Bayesian and Non Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics
... unified approach to a variety of models of ordered random variables with different ...inverse Weibull distribution (IWD), Bayesian and non-Bayesian approaches have been used to obtain the ... See full document
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Process Capability Indices for Shape Parameter of Weibull Distribution
... of shape parameter β for fixed value of scale parameter α ...their approach the shape coefficient of the Weibull distribution becomes a function of a local damage ...the ... See full document
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Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter
... The Rayleigh distribution (RD) is originated from two parameter Weibull distri- bution and it is an appropriate model for life-testing. It can be shown by transfor- mation of random variable that if ... See full document
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Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach
... in parameter estimates. Therefore, we apply a sequential Bayesian framework that provides updates of state, parameters and their uncertainty whenever measure- ments become ...the approach to field ... See full document
12
Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint
... of log-normal model with a stochastic constraint on its parameter space, which causes restriction of reliability measures in their functional ...a log-normal ...a log-normal ... See full document
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Estimation of auc for constant shape bi-weibull failure time distribution
... a Bayesian approach for the estimation of the AUC under the Constant Shape Bi-Weibull Distribution using Extension of Jeffreys’ Prior Information with three Loss ...Bayes ... See full document
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Parameter estimation of the modified Weibull model based on grouped and censored data
... modified Weibull distribution model based on grouped and censored ...modified Weibull distribution has been introduced by Sarhan and Zaindin ...the Weibull distribution generalizes exponential ... See full document
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Statistical inference for the shape parameter change point estimator in negative associated gamma distribution
... the shape parameter ν = , the gamma dis- tribution is an exponential distribution with parameter λ; when λ = , the gamma distri- bution is a chi-squared distribution, with ν degrees of ...The ... See full document
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Estimation of the Generalized Power Weibull Distribution Parameters Using Progressive Censoring Schemes
... the estimation problem of the unknown parameters of the GPW distribution based on progressive type-II censoring scheme, type-II censoring data and complete censoring ...and Bayesian estimation ... See full document
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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
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Calculating The Expected Time To Seroconversion Of Hiv Infected Using Two Source Of Transmission
... When CD4 count is kept fixed with other parameters Platelet count, pothrombin, time and activated partial thromboplastin time and viral RNA the inter-arrival time ′𝑐 ′ , which follows Exponential distribution, is an ... See full document
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Healthy And Unhealthy Statistics: Examining The Impact Of Erroneous Statistical Analyses In Health-Related Research
... Cox model estimates multiplicative e ff ects of predictors on the hazard function at time t ...Cox model is proportional hazards, which is the condition that the ratio of hazard functions does not vary ... See full document
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A class of shrinkage estimators for the shape parameter of the Weibull lifetime model
... the shape parameter when some prior guess value of is available have been analyzed by using the criteria of bias ratio, mean squared error and relative ... See full document
18
Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function
... the shape parameter estimation of ...of parameter has a larger influence on the estimation results, but with the increase of sample size n, the value of mean square error estimate is ... See full document
5
Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics
... In Bayesian approach, the SE loss function which is classified as a symmetric function and associates equal importance to the losses for overestimation and underestimation of equal magnitude, many authors ... See full document
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A Bayesian method for automatic landmark detection in segmented images
... Manual landmark detection is too time-consuming in content based image retrieval applications where one might be dealing with large databases of images. Ar- guably it is also too subjective (Brett & Taylor, 2000). In ... See full document
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