Results 31 to 40 of about 1,474,584 (283)

Investigating the impact of CO2 emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions

open access: yesOpen Chemistry, 2023
Carbon dioxide (CO2) rate within the atmosphere has been rising for decades due to human activities especially due to usage of fuel types such as coal, cement, flaring, gas, oil, etc.
İyit Neslihan   +2 more
doaj   +1 more source

Improving the Efficiency of Robust Estimators for the Generalized Linear Model

open access: yesStats, 2021
The distance constrained maximum likelihood procedure (DCML) optimally combines a robust estimator with the maximum likelihood estimator with the purpose of improving its small sample efficiency while preserving a good robustness level.
Alfio Marazzi
doaj   +1 more source

A Laplace Transform Method for Molecular Mass Distribution Calculation from Rheometric Data

open access: yes, 2017
Polydisperse linear polymer melts can be microscopically described by the tube model and fractal reptation dynamics, while on the macroscopic side the generalized Maxwell model is capable of correctly displaying most of the rheological behavior.
C. Lang   +4 more
core   +1 more source

Numerical derivation of constitutive models for unbonded flexible risers [PDF]

open access: yes, 2009
This is the post-print version of the final paper published in International Journal of Mechanical Sciences. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections,
Alfano, G, Bahai, H, Bahtui, A
core   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor   +12 more
wiley   +1 more source

Assessing Influence on Partially Varying-coefficient Generalized Linear Model

open access: yesRevstat Statistical Journal
In this paper we discuss estimation and diagnostic procedures in partially varying-coefficient generalized linear models based in the penalized likelihood function.
Germán Ibacache-Pulgar   +2 more
doaj   +1 more source

A Note on the Identifiability of Generalized Linear Mixed Models [PDF]

open access: yes, 2014
I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable.
Labouriau, Rodrigo
core  

Current-Induced Step Bending Instability on Vicinal Surfaces

open access: yes, 1998
We model an apparent instability seen in recent experiments on current induced step bunching on Si(111) surfaces using a generalized 2D BCF model, where adatoms have a diffusion bias parallel to the step edges and there is an attachment barrier at the ...
A. Pimpinelli   +24 more
core   +1 more source

A note on the spectral mapping theorem of quantum walk models [PDF]

open access: yes, 2016
We discuss the description of eigenspace of a quantum walk model $U$ with an associating linear operator $T$ in abstract settings of quantum walk including the Szegedy walk on graphs.
Matsue, Kaname   +2 more
core   +3 more sources

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy