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The Cause Specific Hazard Quantile Function
Austrian Journal of Statistics, 2018 In this paper, we discuss modeling and analysis of competing risks data using the quantile function. We introduce and study the cause specific hazard quantile function.
Sankaran Paduthol +2 more
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A Note on Nonparametric Estimation of Conditional Hazard Quantile Function [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 In this paper, we study an kernel estimator of the conditional hazard quantile function (CHQF) of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space and using the proposed estimator based of the kernel ...
El Hadj Hamel, Nadia Kadiri, Abbes Rabhi
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Some new results on bathtub-shaped hazard rate models
Mathematical Biosciences and Engineering, 2022 The most common non-monotonic hazard rate situations in life sciences and engineering involves bathtub shapes. This paper focuses on the quantile residual life function in the class of lifetime distributions that have bathtub-shaped hazard rate functions.
Mohamed Kayid
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Scientific Reports, 2021 The Cox proportional hazards model is a widely used statistical method for the censored data that model the hazard rate rather than survival time. To overcome complexity of interpreting hazard ratio, quantile regression was introduced for censored data ...
Akram Yazdani +4 more
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Frechet-power function distribution:Theory, properties and applications. [PDF]
PLoS OneWe propose the Fréchet–Power Function (FPF) distribution, a novel two-parameter model that combines the bounded support of the Power Function distribution with the heavy-tailed flexibility of a Fréchet-type generator.
Aga MA.
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T-Dagum: A Way of Generalizing Dagum Distribution Using Lomax Quantile Function
Journal of Probability and Statistics, 2020 Recently, different distributions have been generalized using the T-R {Y} framework but the possibility of using Dagum distribution has not been assessed. The T-R {Y} combines three distributions, with one as a baseline distribution, with the strength of
Matthew I. Ekum +2 more
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Mathematical and Computational Applications, 2022 Probability distributions are very useful in modeling lifetime datasets. However, no specific distribution is suitable for all kinds of datasets. In this study, the bounded truncated Cauchy power exponential distribution is proposed for modeling datasets
Suleman Nasiru +2 more
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AIMS MathematicsTo investigate potentially dependent lifetimes, it is necessary to extend the $ \alpha $-quantile inactivity time to bivariate and multivariate frameworks. To extend this measure to a dynamic multivariate framework, all possible trajectories at time $ t $
Mohamed Kayid
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A Unit Weibull Loss Distribution with Quantile Regression and Practical Applications to Actuarial Science [PDF]
Operations Research and DecisionsA new bounded distribution called the unit Weibull loss distribution has been derived. The corresponding probability density function plots reveal that it can be used to analyze data that exhibit right skewness, left skewness, and approximately symmetric
Abdul Ghaniyyu Abubakari +2 more
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Multivariate quantile inactivity time with medical applications
AIP AdvancesThe concept of α-quantile inactivity time was developed for situations with bivariate or multivariate random lifetimes. In this situation, each element has a specific history related to itself, indicating that the corresponding event occurred earlier ...
Mohamed Kayid
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