Results 41 to 50 of about 12,131,923 (292)

Statistical validation of genetic models

open access: yes, 2001
Various aspects of statistical validation of genetic models are reviewed. Possible ways of decomposing additive genetic variance over time and ways of comparing predictions at different times are suggested.
Robin Thompson   +2 more
core   +1 more source

Statistical Models of Alkaline Batteries Discharge

open access: yesInternational Journal of Electrochemical Science, 2015
In this study, there was proved by experiments that the way, in which the activation-ohmic addend in Shepherd’s and Tremblay’s empiric equations and their generalizations describes activation-ohmic processes during a battery discharge by direct current ...
Nikolay Galushkin   +3 more
doaj   +1 more source

Statistical models based on morphometric traits for live body weight estimation in goats

open access: yesAgricultural Science and Technology, 2021
. The objective of this study was to develop statistical models to predict body weight from goat’s body measurements. Data on 1702 goats for circumferences of chest (CG), abdominal circumference (AC) and spiral circumference (SC), height at withers (WH),
N.A. Ouchene-Khelifi, N. Ouchene
doaj   +1 more source

On statistical models on super trees

open access: yesJournal of High Energy Physics, 2018
We consider a particular example of interplay between statistical models related to CFT on one hand, and to the spectral properties of ODE, known as ODE/IS correspondence, on the other hand. We focus at the representation of wave functions of Schrödinger
A. S. Gorsky, S. K. Nechaev, A. F. Valov
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Statistical physics of pairwise probability models

open access: yesFrontiers in Computational Neuroscience, 2009
Statistical models for describing the probability distribution over the states of biological systems are commonly used for dimensional reduction. Among these models, pairwise models are very attractive in part because they can be fit using a reasonable
Yasser Roudi   +4 more
doaj   +1 more source

Statistical Language Modelling [PDF]

open access: yes, 2003
Grammar-based natural language processing has reached a level where it can ‘understand’ language to a limited degree in restricted domains. For example, it is possible to parse textual material very accurately and assign semantic relations to parts of sentences.
Gotoh, Yoshihiko, Renals, Steve
openaire   +3 more sources

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

Visualising statistical models using dynamic nomograms.

open access: yesPLoS ONE, 2019
Translational Statistics proposes to promote the use of Statistics within research and improve the communication of statistical findings in an accurate and accessible manner to diverse audiences.
Amirhossein Jalali   +3 more
doaj   +1 more source

Statistical models with uncertain error parameters

open access: yesEuropean Physical Journal C: Particles and Fields, 2019
In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable with a given ...
Glen Cowan
doaj   +1 more source

Home - About - Disclaimer - Privacy