Results 11 to 20 of about 204,929 (198)
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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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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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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quantreg. nonpar: An R Package for performing nonparametric series quantile regression [PDF]
, 2016 The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based ...
Belloni, Alexandre +3 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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Quantile correlations and quantile autoregressive modeling [PDF]
, 2012 In this paper, we propose two important measures, quantile correlation (QCOR) and quantile partial correlation (QPCOR). We then apply them to quantile autoregressive (QAR) models, and introduce two valuable quantities, the quantile autocorrelation ...
Li, Guodong, Li, Yang, Tsai, Chih-Ling
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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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