Results 21 to 30 of about 204,570 (278)

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 , Dominique Guégan , Bertrand Hassani   +2 more
doaj   +1 more source

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, Isha Dewan, Dileep Kumar M   +2 more
doaj   +1 more source

Quantile Function Expansion Using Regularly Varying Functions [PDF]

Methodology and Computing in Applied Probability, 2017
We present a simple result that allows us to evaluate the asymptotic order of the remainder of a partial asymptotic expansion of the quantile function $h(u)$ as $u\to 0^+$ or $1^-$. This is focussed on important univariate distributions when $h(\cdot)$ has no simple closed form, with a view to assessing asymptotic rate of decay to zero of tail ...
Thomas Fung, Eugene Seneta
openaire   +2 more sources

Application of quantile functions for the analysis and comparison of gas pressure balance uncertainties

International Journal of Metrology and Quality Engineering, 2017
Traditionally in the field of pressure metrology uncertainty quantification was performed with the use of the Guide to the Uncertainty in Measurement (GUM); however, with the introduction of the GUM Supplement 1 (GS1) the use of Monte Carlo simulations ...
Ramnath Vishal
doaj   +1 more source

Odd Generalized Rayleigh- Exponential distribution Statistical Properties with Real Data Application [PDF]

Kirkuk Journal of Science
In this paper we offer a new distribution due to the most common problem for researchers is to determine a statistical model for analyzing lifetime data.
ِAli Monef
doaj   +1 more source

Efficient semiparametric estimation of a partially linear quantile regression model [PDF]

, 2003
This paper is concerned with estimating a conditional quantile function that is assumed to be partially linear. The paper develops a simple estimator of the parametric component of the conditional quantile.
Lee, S
core   +1 more source

Competing risks survival data under middle censoring—An application to COVID-19 pandemic

Healthcare Analytics, 2021
Survival data is being analysed here under the middle censoring scheme, using specifically quantile function modelling under competing risks. The use of middle censoring scheme has been shown to be very appropriate under the COVID-19 pandemic scenario ...
H. Rehman, N. Chandra, S. Rao Jammalamadaka   +2 more
doaj   +1 more source

Simulation Study The Using of Bayesian Quantile Regression in Nonnormal Error

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018
The purposes of this paper is  to introduce the ability of the Bayesian quantile regression method in overcoming the problem of the nonnormal errors using asymmetric laplace distribution on simulation study.
Catrin Muharisa, Ferra Yanuar, Dodi Devianto   +2 more
doaj   +1 more source

Flexible Lomax distribution [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2020
In this paper, a new probability model is produced, which is actually a modification of the Lomax distribution, called Flexible Lomax (FL). The Flexible Lomax performs better than Lomax and its other invariants.
Muhammad Ijaz, Muhammad Asim, Alamgir Khalil   +2 more
doaj   +1 more source

Quantile and Probability Curves Without Crossing [PDF]

, 2009
This paper proposes a method to address the longstanding problem of lack of monotonicity in estimation of conditional and structural quantile functions, also known as the quantile crossing problem.
Chernozhukov, Victor, Fernandez-Val, Ivan, Galichon, Alfred   +2 more
core   +5 more sources