Results 21 to 30 of about 204,929 (198)

Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification

open access: yesEconometrics, 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
doaj   +1 more source

Transformed Log-Burr III Distribution: Structural Features and Application to Milk Production

open access: yesEngineering Proceedings, 2023
The Burr III distribution is extended in this work as a substitute for the numerous Burr III distributions. A new distribution is developed by applying the log transformation technique to define the transformed log-Burr III distribution.
Aliyu Ismail Ishaq   +4 more
doaj   +1 more source

The Cause Specific Hazard Quantile Function

open access: yesAustrian 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
doaj   +1 more source

The Nakagami–Weibull distribution in modeling real-life data

open access: yesCumhuriyet Science Journal, 2021
In this article, a four-parameter Nakagami Weibull distributions (NW) is proposed. We study a few statistical properties such as quantile function, moments, moment generating function, entropy, and order statistics have been derived.
İbrahim Abdullahi
doaj   +1 more source

Quantile Function Expansion Using Regularly Varying Functions [PDF]

open access: yesMethodology 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

open access: yesInternational 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]

open access: yesKirkuk 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

Quantile Correlations: Uncovering temporal dependencies in financial time series [PDF]

open access: yes, 2015
We conduct an empirical study using the quantile-based correlation function to uncover the temporal dependencies in financial time series. The study uses intraday data for the S\&P 500 stocks from the New York Stock Exchange.
Dette, Holger   +3 more
core   +2 more sources

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

open access: yes, 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

open access: yesHealthcare 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   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy