Results 61 to 70 of about 204,570 (278)

A Review and Some Complements on Quantile Risk Measures and Their Domain

open access: yesRisks, 2017
In the present paper, we study quantile risk measures and their domain. Our starting point is that, for a probability measure Q on the open unit interval and a wide class L Q of random variables, we define the quantile risk measure ϱ Q as
Sebastian Fuchs   +2 more
doaj   +1 more source

Modified Quantile Regression for Modeling the Low Birth Weight

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
This study aims to identify the best model of low birth weight by applying and comparing several methods based on the quantile regression method's modification.
Ferra Yanuar   +2 more
doaj   +1 more source

Decentralization Estimators for Instrumental Variable Quantile Regression Models

open access: yes, 2019
The instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2005) is a popular tool for estimating causal quantile effects with endogenous covariates.
Kaido, Hiroaki, Wuthrich, Kaspar
core   +2 more sources

Functional Response Quantile Regression Model

open access: yesStatistica Sinica
Summary: We propose a new functional response quantile regression model, and develop a data-driven estimation procedure to estimate the quantile regression processes based on a local linear approximation. Theoretically, we obtain the global uniform Bahadur representation of the estimator with respect to the time/location and the quantile level, and ...
Zhou, Xingcai   +5 more
openaire   +2 more sources

MYCOPHENOLATE MOFETIL TREATMENT REDUCES THE RISK OF TREATMENT ESCALATION DUE TO VASCULAR COMPLICATIONS IN LIMITED CUTANEOUS SYSTEMIC SCLEROSIS: EMULATION OF A TARGET TRIAL FROM ITALIAN RHEUMATOLOGY SOCIETY SPRING REGISTRY

open access: yesArthritis Care &Research, Accepted Article.
Objective Mycophenolate Mofetil (MMF) use in limited cutaneous systemic sclerosis (lcSSc) is relatively uncommon due to the lower fibrotic burden and the predominance of the vascular complications. In vitro observations and clinical data from transplanted patients suggest a protective effect of MMF on endothelial function.
Enrico De Lorenzis   +77 more
wiley   +1 more source

A bounded Lindley exponential model with applications to industrial engineering and epidemiological data

open access: yesAIMS Mathematics
The log-Lindley exponential (LLE), a bounded variant of the Lindley exponential distribution, is introduced using the inverse exponential transformation method.
Ahmed M. T. Abd El-Bar   +2 more
doaj   +1 more source

Some new results on bathtub-shaped hazard rate models

open access: yesMathematical Biosciences and Engineering, 2022
The most common non-monotonic hazard rate situations in life sciences and engineering involves bathtub shapes. This paper focuses on the quantile residual life function in the class of lifetime distributions that have bathtub-shaped hazard rate functions.
Mohamed Kayid
doaj   +1 more source

Exogenous impact and conditional quantile functions [PDF]

open access: yes, 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

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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

open access: yesMathematics, 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   +3 more
doaj   +1 more source

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