PREDICTING THE DEPOSITIONAL ENVIRONMENTS AND TRANSPORTATION MECHANISMS OF SEDIMENTS USING GRANULOMETRIC PARAMETERS, BIVARIATE AND MULTIVARIATE ANALYSES [PDF]
GeoScience Engineering, 2019 Grain size distribution and classes present in sedimentary rocks are responsive to the physical changes of the transporting media and the basin of deposition.
P. R. IKHANE, O.V. OLADIPO, O.O. OYEBOLU
doaj +3 more sources
Tests Based on Kurtosis for Multivariate Normality
Austrian Journal of Statistics, 2019 In this paper, we first transform a multivariate normal random vector into a random vector with elements that are approximately independent standard normal random variables.
Danush Kanchana Wijekularathna +2 more
doaj +3 more sources
AI-Carbon-Energy: Spillover effects and drivers in interconnected markets [PDF]
iScienceSummary: This study explores the spillover effects between the AI market, international carbon market, and energy markets based on a time-varying parameter vector autoregression model.
Mingming Zhang +3 more
doaj +2 more sources
Combining computed tomography features and histogram analysis facilitates differentiation between solitary pulmonary invasive mucinous and non-mucinous adenocarcinomas [PDF]
Frontiers in RadiologyObjectiveTo assess the value of combining computed tomography (CT) morphological and histogram features for the differentiation of solitary pulmonary invasive mucinous adenocarcinoma (PIMA) from pulmonary invasive non-mucinous adenocarcinoma (PINMA ...
Duiming Yang +6 more
doaj +2 more sources
COMPARISON OF ULTRASOUND IMAGE FILTERING METHODS BY MEANS OF MULTIVARIABLE KURTOSIS
Image Analysis and Stereology, 2017 Comparison of the quality of despeckled US medical images is complicated because there is no image of a human body that would be free of speckles and could serve as a reference.
Mariusz Nieniewski, Paweł Zajączkowski
doaj +5 more sources
Quantitative diffusion MRI biomarkers predict adverse maternal outcomes in placenta accreta spectrum disorders [PDF]
Frontiers in MedicineIntroductionThis study aimed to investigate the potential of diffusion-weighted imaging (DWI) parameters in predicting adverse maternal outcomes in high-risk patients with placenta accreta spectrum (PAS) disorders.MethodsWe conducted a prospective ...
Tao Lu +4 more
doaj +2 more sources
On Multivariate Skewness and Kurtosis [PDF]
Sankhya A, 2020 AbstractA unified treatment of all currently available cumulant-based indexes of multivariate skewness and kurtosis is provided here, expressing them in terms of the third and fourth-order cumulant vectors respectively. Such a treatment helps reveal many subtle features and inter-connections among the existing indexes as well as some deficiencies ...
Jammalamadaka, Sreenivasa Rao +2 more
openaire +3 more sources
Survival Prediction Analysis in Glioblastoma With Diffusion Kurtosis Imaging
Frontiers in Oncology, 2021 Simple SummaryGlioblastoma (GBM) is the most common and aggressive primary brain tumor. Diffusion kurtosis imaging (DKI) has characterized non-Gaussian diffusion behaviors in brain normal tissue and gliomas, but there are very limited efforts in ...
Yuan Li +8 more
doaj +1 more source
Mathematics, 2021 Non-normality is a usual fact when dealing with gene expression data. Thus, flexible models are needed in order to account for the underlying asymmetry and heavy tails of multivariate gene expression measures.
Jorge M. Arevalillo, Hilario Navarro
doaj +1 more source
Rim sign and histogram analysis of apparent diffusion coefficient values on diffusion-weighted MRI in triple-negative breast cancer: Comparison with ER-positive subtype. [PDF]
PLoS ONE, 2017 To investigate associations between the clinicopathologic features and MRI features of triple-negative breast cancer (TNBC) and ER-positive breast cancer (BC) via apparent diffusion coefficient (ADC) histogram analysis.In this study, 221 breast cancer ...
Yangsean Choi +5 more
doaj +1 more source