Modelling bivariate failure time data via bivariate extended Chen distribution
نویسندگان
چکیده
Abstract Fatal Shock, competing risks and stress models are utilized in reliability survival analysis to characterize various application types. In this context, paper aimed introduce a new class of bivariate distribution based on the Marshall–Olkin type. The proposed termed as Bivariate Extended Chen (BEC) so that marginals have distribution. Some properties derived explained. BEC parameters estimated using maximum likelihood method. Finally, two applications real life highlight significance adaptability offers superior fit than different distributions, illustrating its flexibility applicability modelling.
منابع مشابه
Displaying Bivariate Data
Numerical techniques are too often designed to yield specific answers to rigidly defined questions. Graphical techniques are less confining. They aid in understanding the numerous relationships reflected in the data. They help reveal the existence of peculiar looking observations or subsets of the data. It is difficult to obtain similar information from numerical procedures. In this article, by...
متن کاملA Model Selection Test for Bivariate Failure-Time Data∗
In this paper, we address two important issues in semiparametric survival model selection for censored data generated by the Archimedean copula family: method of estimating the parametric copulas and data reuse. We demonstrate that for selection among candidate copula models that could all be misspecified, estimators of the parametric copulas based on minimizing the selection criterion function...
متن کاملModel Selection and Semiparametric Inference for Bivariate Failure-Time Data
Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opin...
متن کاملA multistate model for bivariate interval-censored failure time data.
SUMMARY Interval-censored life-history data arise when the events of interest are only detectable at periodic assessments. When interest lies in the occurrence of two such events, bivariate-interval censored event time data are obtained. We describe how to fit a four-state Markov model useful for characterizing the association between two interval-censored event times when the assessment times ...
متن کاملAssociation Parameters Regression for Bivariate Failure-Time Data
Copula models are often used to model the dependence structure in bivariate failure-time data. We consider a covariate effect regression method on the copula parameter for Archimedean copulas. The proposed method can handle three different data structures, namely typical bivariate data, semi-competing risks data and dependent truncation data. We derive large-sample properties of the proposed es...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Stochastic Environmental Research and Risk Assessment
سال: 2023
ISSN: ['1436-3259', '1436-3240']
DOI: https://doi.org/10.1007/s00477-023-02461-w