Results 11 to 20 of about 93,664 (290)

Radiomics-Based Texture Analysis of 68Ga-DOTATATE Positron Emission Tomography and Computed Tomography Images as a Prognostic Biomarker in Adults With Neuroendocrine Cancers Treated With 177Lu-DOTATATE

Frontiers in Oncology, 2021
PurposeNeuroendocrine tumors (NET) are rare cancers with variable behavior. A better understanding of prognosis would aid individualized management. The aim of this hypothesis-generating pilot study was to investigate the prognostic potential of tumor ...
Charlotte Atkinson, Balaji Ganeshan, Raymond Endozo, Simon Wan, Matthew D. Aldridge, Ashley M. Groves, Jamshed B. Bomanji, Mark N. Gaze   +7 more
doaj   +1 more source

Drought risk analysis based on multivariate copula function in Henan Province, China

Geomatics, Natural Hazards & Risk, 2023
Global droughts have become more frequent in recent years, posing a serious threat to human production and life. In order to overcome the limitations of traditional studies in quantifying drought risk, this study uses runs theory to extract drought ...
Yunliang Wen, Liwei Zhou, Ling Kang, Hao Chen, Jinlei Guo   +4 more
doaj   +1 more source

Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis

Applied Sciences, 2020
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar ...
Roberta Fusco, Vincenza Granata, Mario Sansone, Robert Grimm, Paolo Delrio, Daniela Rega, Fabiana Tatangelo, Antonio Avallone, Nicola Raiano, Giuseppe Totaro, Vincenzo Cerciello, Biagio Pecori, Antonella Petrillo   +12 more
doaj   +1 more source

Modeling Multivariate Financial Series and Computing Risk Measures via Gram–Charlier-Like Expansions

Risks, 2020
This paper develops an approach based on Gram–Charlier-like expansions for modeling financial series to take in due account features such as leptokurtosis. A Gram–Charlier-like expansion adjusts the moments of interest of a given distribution via its own
Maria Grazia Zoia, Gianmarco Vacca, Laura Barbieri   +2 more
doaj   +1 more source

A New Goodness of Fit Test for Multivariate Normality and Comparative Simulation Study

Mathematics, 2021
The testing of multivariate normality remains a significant scientific problem. Although it is being extensively researched, it is still unclear how to choose the best test based on the sample size, variance, covariance matrix and others.
Jurgita Arnastauskaitė, Tomas Ruzgas, Mindaugas Bražėnas   +2 more
doaj   +1 more source

A Class of Univariate Non-Mesokurtic Distributions Using a Continuous Uniform Symmetrizer and Chi Generator

Statistica, 2021
In a good number of real life situations, the observations on a random variable of interest tend to concentrate either too closely or too thinly around a central point but symmetrically like the normal distribution. The symmetric structure of the density
Kamala Naganathan Radhalakshmi, Martin Luther William   +1 more
doaj   +1 more source

Application of Aeolian Sediments Granulometry Characteristics to Determine the Morphology of Homogenous Sand Dunes through Multivariate Data Analysis (Case Study: Kashan Erg) [PDF]

مدیریت بیابان, 2013
Kashan Erg is one of the most important sand seacomplexes in Iran. The Current research tried to determine the homogeneity of Kashan Erg through multivariate data analysis.
Asghar Tavakkoli Fard, Ali Akbar Nazari Samani, Hoda Ghasemieh, Nasser Mashhadi   +3 more
doaj   +1 more source

Integrated Condition Monitoring and Prognosis Method for Incipient Defect Detection and Remaining Life Prediction of Low Speed Slew Bearings

Machines, 2017
This paper presents an application of multivariate state estimation technique (MSET), sequential probability ratio test (SPRT) and kernel regression for low speed slew bearing condition monitoring and prognosis. The method is applied in two steps.
Wahyu Caesarendra, Tegoeh Tjahjowidodo, Buyung Kosasih, Anh Kiet Tieu   +3 more
doaj   +1 more source

On the Canonical Form of Scale Mixtures of Skew-Normal Distributions

Statistica, 2020
The canonical form of scale mixtures of multivariate skew-normal distribution is defined, emphasizing its role in summarizing some key properties of this class of distributions.
Antonella Capitanio
doaj   +1 more source

covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas

Journal of Statistical Software, 2022
In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix.
Steffen Grønneberg, Njål Foldnes, Katerina M. Marcoulides   +2 more
doaj   +1 more source