Phase transition of cosmological model with statistical techniques
Sign Up to like & getrecommendations! Published in 2020 at "Astrophysics and Space Science"
DOI: 10.1007/s10509-020-03843-0
Abstract: In the present communication, we investigated flat Friedmann-Lemaitre-Robertson-Walker mathematical model of universe in $f (R,T )$ theory of gravity with bulk viscous fluid as a source of energy. A system of modified field equations with… read more here.
Keywords: phase transition; transition cosmological; model; cosmological model ... See more keywords
Using short-term dietary intake data to address research questions related to usual dietary intake among populations and subpopulations: Assumptions, statistical techniques, and considerations.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Academy of Nutrition and Dietetics"
DOI: 10.1016/j.jand.2022.03.010
Abstract: Many research questions focused on characterizing usual, or long-term average, dietary intake of populations and subpopulations rely on short-term intake data. The objective of this paper is to review key assumptions, statistical techniques, and considerations… read more here.
Keywords: intake; short term; statistical techniques; dietary intake ... See more keywords
Application of multivariate statistical techniques in alongshore differentiation of coastal barriers
Sign Up to like & getrecommendations! Published in 2020 at "Marine Geology"
DOI: 10.1016/j.margeo.2019.106077
Abstract: Abstract This paper investigates the existence of statistical correlations and relationships between geological and oceanographic parameters along a coastal barrier system in southern Brazil. The existence of few statistical studies on coastal barriers motivated the… read more here.
Keywords: techniques alongshore; application multivariate; coastal barriers; alongshore differentiation ... See more keywords
A workflow for spatio-seasonal hydro-chemical analysis using multivariate statistical techniques.
Sign Up to like & getrecommendations! Published in 2020 at "Water research"
DOI: 10.1016/j.watres.2020.116550
Abstract: Multivariate statistical techniques are powerful in data interpretation and pattern recognition, which play a vital role in pollutant source identification for water environment management. Despite of their wide application in hydro-chemical analysis, absence of a… read more here.
Keywords: analysis; hydro chemical; chemical analysis; multivariate statistical ... See more keywords
AB1274 OF 60 PUBLICATIONS REFERRING TO BIG DATA IN RHEUMATIC AND MUSCULOSKELETAL DISEASES, 33 APPLIED ARTIFICIAL INTELLIGENCE STATISTICAL TECHNIQUES: A SYSTEMATIC LITERATURE REVIEW INFORMING A EULAR TASKFORCE
Sign Up to like & getrecommendations! Published in 2019 at "Annals of the Rheumatic Diseases"
DOI: 10.1136/annrheumdis-2019-eular.3340
Abstract: Background Big data are defined as data sets that are too large or complex for traditional data-processing application software to adequately deal with. Artificial Intelligence (AI) includes various statistical techniques which can deal with big… read more here.
Keywords: artificial intelligence; literature; referring big; statistical techniques ... See more keywords
Prediction of the Bending Stiffness of Uruguayan Loblolly and Slash Pine Timber Applying Different Statistical Techniques
Sign Up to like & getrecommendations! Published in 2019 at "Bioresources"
DOI: 10.15376/biores.14.1.755-768
Abstract: Regression trees, random forests, and generalized additive models (GAM) are statistical techniques often used in several disciplines, but rarely in wood technology. This study presented a novel approach to predicting the modulus of elasticity of… read more here.
Keywords: pine timber; timber applying; statistical techniques; modulus elasticity ... See more keywords