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Applications of Burr III- Weibull quantile function in reliability analysis
Statistical Theory and Related Fields, 2023 This paper introduces a new family of distributions defined in terms of quantile function. The quantile function introduced here is the sum of quantile functions of life time distributions called Burr III and Weibull.
G. S. Deepthy +2 more
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Dynamic Quantile Function Models [PDF]
SSRN Electronic Journal, 2017 Motivated by the need for effectively summarising, modelling, and forecasting the distributional characteristics of intra-daily returns, as well as the recent work on forecasting histogram-valued time-series in the area of symbolic data analysis, we develop a time-series model for forecasting quantile-function-valued (QF-valued) daily summaries for ...
Wilson Ye Chen +3 more
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Beta Inverted Lindley Distribution: Stress-Strength Reliability & Application [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2020 This research includes new probability distribution which is named beta inverted Lindley distribution. Some useful functions of the proposed distribution are derived. Important mathematical expansions are investigated.
سعيد حميدة
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A Multivariate Quantile Based on Kendall Ordering
Revstat Statistical Journal, 2023 We introduce the Kendall multivariate quantiles, which are a transformation of orthant quantiles by the Kendall function. Each quantile is then a set of vectors with some advantageous properties, compared to the standard orthant quantile: i/ it in[1 ...
Matthieu Garcin +2 more
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Modeling Voltage Real Data Set by a New Version of Lindley Distribution
IEEE Access, 2023 This paper presents a novel probability distribution, namely the new XLindley distribution, derived from a unique combination of exponential and gamma distributions through a special mixture formulation.
Nawel Khodja +8 more
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Inference in functional linear quantile regression
Journal of Multivariate Analysis, 2022 In this paper, we study statistical inference in functional quantile regression for scalar response and a functional covariate. Specifically, we consider a functional linear quantile regression model where the effect of the covariate on the quantile of the response is modeled through the inner product between the functional covariate and an unknown ...
Meng Li +3 more
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Fractal and Fractional, 2023 The continuous Bernoulli distribution is defined on the unit interval and has a unique property related to fractiles. A fractile is a position on a probability density function where the corresponding surface is a fixed proportion.
Mustafa Ç. Korkmaz +2 more
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Fractal and Fractional, 2023 Covariate-related response variables that are measured on the unit interval frequently arise in diverse studies when index and proportion data are of interest. A regression on the mean is commonly used to model this relationship.
Víctor Leiva +2 more
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Robust scalar-on-function partial quantile regression [PDF]
Journal of Applied Statistics, 2023 Compared with the conditional mean regression-based scalar-on-function regression model, the scalar-on-function quantile regression is robust to outliers in the response variable. However, it is susceptible to outliers in the functional predictor (called leverage points).
Ufuk Beyaztas, Mujgan Tez, Han Lin Shang
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Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification
Econometrics, 2015 Allowing for misspecification in the linear conditional quantile function, this paper provides a new interpretation and the semiparametric efficiency bound for the quantile regression parameter β (
Ying-Ying Lee
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