Results 111 to 120 of about 113,685 (321)
Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales
We investigate the ability of hydrological multimodel ensemble predictions to enhance the skill of streamflow forecasts at short‐ to medium‐range timescales.
Sanjib Sharma +4 more
doaj +1 more source
Comprehensive Evidence for Mortality and Underlying Morbidity Related to Visceral Fat Distribution
ABSTRACT Linking obesity to mortality is an intriguing and controversial topic. This study tried to comprehensively assess 8 adiposity surrogates and mortality association among middle‐to‐old‐aged adults to identify a superior one, and explore explanatory disorders. Data sources included the National Health and Nutrition Examination Survey (NHANES), UK
Haolong Zhou +11 more
wiley +1 more source
An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions
Finite mixture distributions arise in sampling a heterogeneous population. Data drawn from such a population will exhibit extra variability relative to any single subpopulation.
Morel, Jorge G. +2 more
core +1 more source
Bayesian Quantile Regression for Ordinal Models
The paper introduces a Bayesian estimation method for quantile regression in univariate ordinal models. Two algorithms are presented that utilize the latent variable inferential framework of Albert and Chib (1993) and the normal-exponential mixture representation of the asymmetric Laplace distribution.
openaire +4 more sources
Phytoplankton has an important role in aquatic ecosystem as the primary natural feed for another aquatic biota. However, the density of phytoplankton must be controlled at desirable level in order to prevent eutrophication.
E. Lusiana +4 more
semanticscholar +1 more source
On Order Restricted Inference in Multi‐Step Stage Life Testing for a General Family of Distributions
ABSTRACT Recently, k$$ k $$‐step stage life testing (SLT) has been proposed by Laumen and Cramer (2021) as a natural extension of progressive censoring with fixed censoring times (PC‐FCT) as well as of simple step‐stress accelerated life testing (SSALT).
Erhard Cramer +2 more
wiley +1 more source
Design Issues for Generalized Linear Models: A Review
Generalized linear models (GLMs) have been used quite effectively in the modeling of a mean response under nonstandard conditions, where discrete as well as continuous data distributions can be accommodated.
Ghosh, Malay +3 more
core +3 more sources
Bayesian Quantile Regression Method to Construct the Low Birth Weight Model
This study aims to implement Bayesian quantile regression method in constructing the model of Low Birth Weight. The data of Low Birth Weight is violated of nonnormal assumption for error terms.
F. Yanuar +5 more
semanticscholar +1 more source
Bayesian quantile regression: An application to the wage distribution in 1990s Britain [PDF]
This paper illustrates application of Bayesian inference to quantile regression. Bayesian inference regards unknown parameters as random variables, and we describe an MCMC algorithm to estimate the posterior densities of quantile regression parameters ...
Van Kerm, Philippe +2 more
core
Optimal designs for quantile regression models [PDF]
Despite of their importance optimal designs for quantile regression models have not been developed so far. In this paper we investigate the D-optimal design problem for the location scale nonlinear quantile regression model.
Dette, Holger, Trampisch, Matthias
core

