Results 61 to 70 of about 204,929 (198)

Quantile Regression in Space-Time Varying Coefficient Model of Upper Respiratory Tract Infections Data

Mathematics, 2023
Space-time varying coefficient models, which are used to identify the effects of covariates that change over time and spatial location, have been widely studied in recent years. One such model, called the quantile regression model, is particularly useful
Bertho Tantular, Budi Nurani Ruchjana, Yudhie Andriyana, Anneleen Verhasselt   +3 more
doaj   +1 more source

Stochastic Generator of a New Family of Lifetime Distributions with Illustration

Revstat Statistical Journal
In this article, a new family of lifetime distributions is introduced to help researchers model different types of data sets. Furthermore, the maximum likelihood method was used in estimating the model's parameters.
Amjad Al-Nasser, Ahmad Hanandeh
doaj   +1 more source

Exogenous impact and conditional quantile functions [PDF]

, 2001
An exogenous impact function is defined as the derivative of a structural function with respect to an endogenous variable, other variables, including unobservable variables held fixed.
Chesher, A
core   +1 more source

A Software Reliability Model Using Quantile Function

Journal of Probability and Statistics, 2014
We study a class of software reliability models using quantile function. Various distributional properties of the class of distributions are studied. We also discuss the reliability characteristics of the class of distributions.
Bijamma Thomas, Midhu Narayanan Nellikkattu, Sankaran Godan Paduthol   +2 more
doaj   +1 more source

Quantile regression for mixed models with an application to examine blood pressure trends in China [PDF]

, 2015
Cardiometabolic diseases have substantially increased in China in the past 20 years and blood pressure is a primary modifiable risk factor. Using data from the China Health and Nutrition Survey, we examine blood pressure trends in China from 1991 to 2009,
Fuentes, Montserrat, Gordon-Larsen, Penny, Reich, Brian J., Smith, Luke B.   +3 more
core   +3 more sources

On function-on-function linear quantile regression

Journal of Applied Statistics
We present two innovative functional partial quantile regression algorithms designed to accurately and efficiently estimate the regression coefficient function within the function-on-function linear quantile regression model. Our algorithms utilize functional partial quantile regression decomposition to effectively project the infinite-dimensional ...
Muge Mutis, Ufuk Beyaztas, Filiz Karaman, Han Lin Shang   +3 more
openaire   +4 more sources

Quantile and quantile-function estimations under density ratio model

The Annals of Statistics, 2013
Published in at http://dx.doi.org/10.1214/13-AOS1129 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Chen, Jiahua, Liu, Yukun
openaire   +3 more sources

Unified estimators of smooth quantile and quantile density functions

Journal of Statistical Planning and Inference, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Cheng, Parzen, Emanuel
openaire   +1 more source

Multivariate quantile inactivity time with medical applications

AIP Advances
The 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
doaj   +1 more source