Fermi GBM GRBs' multivariate statistics
Sign Up to like & getrecommendations! Published in 2018 at "Astronomische Nachrichten"
DOI: 10.1002/asna.201813504
Abstract: Studying the GRBs' gamma-ray spectra may reveal some physical information of Gamma-ray Bursts. The Fermi satellite observed more than two thousand GRBs. The FERMIGBRST catalog contains GRB parameters (peak energy, spectral indices, intensity) estimated for… read more here.
Keywords: multivariate statistics; grbs multivariate; gbm grbs; fermi gbm ... See more keywords
Insights into the drivers of histopathological changes and potential as bio-indicator of riverine health of an aquatic apex predator from a premier conservation area: a multiple lines of evidence and multivariate statistics approach
Sign Up to like & getrecommendations! Published in 2017 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2016.08.048
Abstract: Abstract There is a need for sensitive bio-monitoring and indicator tools in toxicant impact assessment to show the effect on fish health. Histopathological assessment of fish tissue is a bio-monitoring tool allowing for early warning… read more here.
Keywords: indicator; histopathological changes; health; multivariate statistics ... See more keywords
Trace metal dynamics in an industrialized Brazilian river: A combined application of Zn isotopes, geochemical partitioning, and multivariate statistics.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of environmental sciences"
DOI: 10.1016/j.jes.2020.08.027
Abstract: The Paraiba do Sul (PSR) and Guandu Rivers (GR) water diversion system (120 km long) is located in the main industrial pole of Brazil and supplies drinking water for 9.4 million people in the metropolitan region… read more here.
Keywords: dynamics industrialized; geochemical partitioning; industrialized brazilian; trace metal ... See more keywords
Optimal Mode Combination in the Multiconfiguration Time-Dependent Hartree Method through Multivariate Statistics: Factor Analysis and Hierarchical Clustering.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c01089
Abstract: The multiconfiguration time-dependent Hartree (MCTDH) method and its multilayer extension (ML-MCTDH) are powerful algorithms for the efficient computation of nuclear quantum dynamics in high-dimensional systems. By providing time-dependent variational orbitals and an optimal choice of… read more here.
Keywords: time; time dependent; dependent hartree; factor analysis ... See more keywords
A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2862940
Abstract: The explosion of different fault detection (FD) statistics in multivariate statistics-based FD approaches has meant that the practitioner is faced with the unenviable job of determining which to use in a given circumstance. Moreover, compared… read more here.
Keywords: detecting multiplicative; detection; statistics based; statistics detecting ... See more keywords
ESTATÍSTICA MULTIVARIADA APLICADA A QUALIDADE DA ÁGUA PARA IRRIGAÇÃO EM MICROBACIA PERENE DO SEMIÁRIDO BRASILEIRO
Sign Up to like & getrecommendations! Published in 2021 at "Revista Caatinga"
DOI: 10.1590/1983-21252021v34n317rc
Abstract: ABSTRACT Water scarcity is one of the main problems in the Semiarid region of Brazil, which can be mitigated by water resource management strategies. The objective of this work was to classify waters of a… read more here.
Keywords: water; estat stica; multivariate statistics; stica multivariada ... See more keywords
Untargeted Metabolomic Analysis Combined With Multivariate Statistics Reveal Distinct Metabolic Changes in GPR40 Agonist-Treated Animals Related to Bile Acid Metabolism
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2020.598369
Abstract: Metabolomics has been increasingly applied to biomarker discovery, as untargeted metabolic profiling represents a powerful exploratory tool for identifying causal links between biomarkers and disease phenotypes. In the present work, we used untargeted metabolomics to… read more here.
Keywords: metabolomic analysis; treated animals; bile acid; multivariate statistics ... See more keywords
Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS
Sign Up to like & getrecommendations! Published in 2022 at "Foods"
DOI: 10.3390/foods11070910
Abstract: This review takes a snapshot of the main multivariate statistical techniques and methods used to process data on the concentrations of wine volatile molecules extracted by means of solid phase micro-extraction and analyzed using GC-MS.… read more here.
Keywords: use multivariate; wine volatile; statistics processing; data wine ... See more keywords