Results 61 to 70 of about 11,697,554 (295)
Comparing estimates of climate change impacts from process-based and statistical crop models
The potential impacts of climate change on crop productivity are of widespread interest to those concerned with addressing climate change and improving global food security.
David B Lobell, Senthold Asseng
doaj +1 more source
Statistical Model Checking of NetLogo model
Agent-based models (ABMs) are gaining increasing traction in several domains, due to their ability to represent complex systems that are not easily expressible with classical mathematical models. This expressivity and richness come at a cost: ABMs can typically be analyzed only through simulation, making their analysis challenging.
Pangallo, Marco +2 more
openaire +4 more sources
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Measuring the Quality of Multivariate Statistical Models
Assessing the quality of a statistical model is very important, since it is crucial for the utility of the modelling process’ outcome. There are many different ways of measuring statistical models quality.
Michał Trzęsiok
doaj +1 more source
Reparameterization of nonlinear statistical models: a case study
The importance of finding appropriate parameterizations for nonlinear statistical models is highlighted. The purpose of this paper is to explore the principles of reparameterization, using an example from real data.
Gavin Ross +6 more
core +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Statistical Relational Learning With Unconventional String Models
This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings.
Mai H. Vu +5 more
doaj +1 more source
Determinantal point process models and statistical inference
International audienceStatistical models and methods for determinantal point processes (DPPs) seemlargely unexplored. We demonstrate that DPPs provide useful models for the description ofspatial point pattern data sets where nearby points repel each ...
Møller, Jesper; id_orcid +4 more
core +1 more source
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
Statistical Models for Stability Analysis in Watermelon
Fourteen promising F1 hybrids of watermelon namely IIHR-188 X IIHR-118, IIHR 114 X IIHR 118 , IIHR 119 X IIHR- 20-1, Arka Manik X IIHR 46, IIHR 43 X IIHR 46, Arka Manik X IIHR-188, Arka Jyothi, NS-295, Kushboo, Madhubala, Apoorva, CWH-7 and Riya were ...
R Venugopalan, M Pitchaimuthu
doaj +1 more source

