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Weibull mixture

Evaluation of Diagnostic Accuracy and its Standard Error using Constant Shape Weibull Mixture ROC Curve

Evaluation of Diagnostic Accuracy and its Standard Error using Constant Shape Weibull Mixture ROC Curve

... Weibull Mixture distribution is very useful in medical diagnosis because it attains many shapes for different values of shape and scale parameters which helps in modeling different types of ...

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BLIND SOURCE SEPARATUION BASED ON THE WEIBULL MIXTURE MODEL

BLIND SOURCE SEPARATUION BASED ON THE WEIBULL MIXTURE MODEL

...  (2) where c i is the location parameter,  i  0 is the scale parameter,  i  0 is the shape parameter .By varying the parameters of (Weibull), it’s possible to characterize a large class of distributions such ...

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Detecting Changes in Retinal Function: Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS)

Detecting Changes in Retinal Function: Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS)

... The Weibull mixture retest distributions, in comparison to a normally distributed error assumed in ordinary regression models, allows ANSWERS to attain a high certainty about deterioration status (Figure ...

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Optimal Replacement Age and Maintenance Cost: A Case Study

Optimal Replacement Age and Maintenance Cost: A Case Study

... 2-fold Weibull mixture model, the EM algorithm is ...a Weibull model with shape parameter β and scale parameter η is given by η Γ ( 1 + 1 / β ) where Γ ⋅ ( ) is the gamma ...2-fold Weibull ...

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Bayesian Inference of a Finite Mixture of Inverse Weibull Distributions with an Application to Doubly Censoring Data

Bayesian Inference of a Finite Mixture of Inverse Weibull Distributions with an Application to Doubly Censoring Data

... inverse Weibull mixture distribution based on doubly type II censored ...the mixture distributions have been over/under estimated under different ...the mixture impose a positive (negative) ...

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Proportional mean regression models for censored data

Proportional mean regression models for censored data

... Using the proposed semiparametric method based on Weibull mixture models, we obtain the summary of the posterior distribution of (β, α) using the Gibbs sampling algorithm described in Section 3. In order to ...

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Application of Mixture Models for Analyzing Reliability Data: A Case Study

Application of Mixture Models for Analyzing Reliability Data: A Case Study

... 2-fold Weibull mixture model for this data ...2-fold mixture models (including Weibull, Exponential, Normal, Lognormal, Smallest extreme value distribution) are applied to find out the ...

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A Study on The Mixture of Exponentiated-Weibull Distribution

A Study on The Mixture of Exponentiated-Weibull Distribution

... 2-fold mixture models for times to failure ...2-fold Weibull mixture models in terms of the Weibull probability plotting, and examined the graphical plotting approach to determine if a given ...

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Estimation in a Cox Proportional Hazards Cure Model

Estimation in a Cox Proportional Hazards Cure Model

... In summary, when the true model is a Weibull mixture, under ideal conditions of sufficient follow-up and mild censoring, the PH mixture is comparable in efficiency in the estimation of t[r] ...

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Mixture of identical distributions of exponential, gamma, lognormal, weibull, gompertz approach to heterogeneous survival data

Mixture of identical distributions of exponential, gamma, lognormal, weibull, gompertz approach to heterogeneous survival data

... parametric mixture model with an application to relative Survival model to individual data on colon cancer patients (Angelis, ...on mixture models (DankmarBohning and Wilfried Seidel, ...a Weibull ...

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Transmuted Modified Weibull Distribution: A Generalization of the Modified Weibull Probability Distribution

Transmuted Modified Weibull Distribution: A Generalization of the Modified Weibull Probability Distribution

... modified Weibull (TMW) distribution provides better fit than the other ...modified Weibull (TMW) has better relationship and hence this distribution is good model for life time ...

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The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution

The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution

... Although we do not seek an exhaustive analysis here but merely an illustrative one, it is interesting to consider the question of goodness-of-fit. Anderson-Darling (AD) and Kolmogorov-Smirnov (KS) tests yield p-values ...

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An expectation-conditional maximization-based Weibull-Gompertz mixture model for analyzing competing-risks data: Using post-transplant malignancy data

An expectation-conditional maximization-based Weibull-Gompertz mixture model for analyzing competing-risks data: Using post-transplant malignancy data

... data, mixture model took a longer time to ...the mixture and other approaches have some different ...that mixture method is a parametric model and estimate parameters of components ...

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Parameter Estimations for Some  Modifications of the Weibull  Distribution

Parameter Estimations for Some Modifications of the Weibull Distribution

... The Weibull distribution [1] is the most life-time probability distribution used in the reliability engineering dis- ...the Weibull distribution with a number of parameters ranging from 2 to ...the ...

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A CONDITIONAL REPETITIVE GROUP SAMPLING PLAN FOR TRUNCATED LIFE TESTS USING DIFFERENT LIFETIME DISTRIBUTIONS

A CONDITIONAL REPETITIVE GROUP SAMPLING PLAN FOR TRUNCATED LIFE TESTS USING DIFFERENT LIFETIME DISTRIBUTIONS

... 185 | P a g e 3 0 J a n u a r y 2 0 1 5 w w w . g j a r . o r g Jun C.H. et. Al., in 2006 presented variables sampling plans for Weibull distributed lifetimes under sudden death testing. Muhammad Aslam et. al., ...

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Recurrent frequency-size distribution of characteristic events

Recurrent frequency-size distribution of characteristic events

... (the Weibull distribution) both for the time-interval and frequency-size ...the Weibull distribution but also that the exponents of these distributions have similar ...

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Beyond Average: Weibull Analysis of Task Completion Times

Beyond Average: Weibull Analysis of Task Completion Times

... Second, Weibull distribution parameters (discussed in detail below) can be quite informative for analyzing the respective contributions of random and non- random influences to a ...a Weibull model can be ...

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Statistical Methods for Time-Conditional Survival Probability and Equally Spaced Count Data

Statistical Methods for Time-Conditional Survival Probability and Equally Spaced Count Data

... methodology for the analysis of time-conditional survival probabilities. We show that the proposed test statistics for evaluating the relationship between time-conditional survival probabilities and additional time ...

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Optimization of the distribution of wind speeds using convexly combined Weibull densities

Optimization of the distribution of wind speeds using convexly combined Weibull densities

... a Weibull probability density func- tion (PDF) for wind power potential calculations ...one Weibull PDF seems to be prob- lematic, and at special sites, ...bimodal mixture Weibull PDF has ...

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A New Flexible Lifetime Model with Statistical Properties and Applications

A New Flexible Lifetime Model with Statistical Properties and Applications

... a mixture of the E-W ...extended- Weibull, the Poisson Topp Leone-Weibull, the Burr X Exponentiated-Weibull, the Kumaraswamy-Weibull, the Gamma-Weibull, the Transmuted ...

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