Results 51 to 60 of about 93,664 (290)

STAR_outliers: a python package that separates univariate outliers from non-normal distributions

BioData Mining, 2023
There are not currently any univariate outlier detection algorithms that transform and model arbitrarily shaped distributions to remove univariate outliers.
John T. Gregg, Jason H. Moore
doaj   +1 more source

A method of generating multivariate non-normal random numbers with desired multivariate skewness and kurtosis [PDF]

Behavior Research Methods, 2019
In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures such as ...
Wen, Qu, Haiyan, Liu, Zhiyong, Zhang
openaire   +2 more sources

Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions

Canadian Journal of Statistics, EarlyView.
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni, Luca Merlo, Lea Petrella   +2 more
wiley   +1 more source

Predictive value of ADC histogram analysis in 2 cm peritumoral edema zone for spatial pattern of recurrence in glioblastoma

陆军军医大学学报, 2023
Objective To evaluate the predictive value of apparent diffusion coefficient (ADC) histogram in preoperative magnetic resonance imaging (MRI) of the 2 cm peritumoral edema zone for spatial pattern of recurrence in IDH wild-type glioblastoma (GB). Methods
ZENG Linlan, WANG Hanwei, TIAN Jing, RAN Qisheng, ZHANG Letian   +4 more
doaj   +1 more source

Tests of Gaussianity

, 2003
We review two powerful methods to test the Gaussianity of the cosmic microwave background (CMB): one based on the distribution of spherical wavelet coefficients and the other on smooth tests of goodness-of-fit.
A.M Aliaga, Antoine, Balbi, Barreiro, Cayón, Cayón, Cayón, Cox, E Martı́nez-González, F Argüeso, Hanany, J.E Gallegos, J.L Sanz, L Cayón, Martı́nez-González, R.B Barreiro, Rayner, Rayner, Spergel, Tenorio   +19 more
core   +1 more source

Do ESG‐Related Managerial Capabilities Pay Off for SMEs? Evidence From the Small and Medium‐Sized Enterprise ESG Capability Measure (SM‐ESG)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Large companies have a long track record of environmental, social, and governance (ESG) initiatives, whereas many small and medium‐sized enterprises (SMEs) lag in adopting sustainability‐related practices, often acting voluntarily or in response to stakeholder pressures and incentives.
Vivien Csapi, Mónika Galambosné Tiszberger, Gábor Márkus, Ákos Tóth‐Pajor, Petra Putzer   +4 more
wiley   +1 more source

Desempenho de testes de normalidade multivariados avaliado por simulação Monte Carlo Monte Carlo evaluation of the performance of multivariate normality tests

Ciência e Agrotecnologia, 2007
Neste trabalho, objetivou-se avaliar a performance do teste multivariado de normalidade de Shapiro-Wilk implementado no R comparando o seu desempenho com os testes de assimetria e curtose de Mardia (1970, 1974, 1975) utilizando simulação Monte Carlo ...
Narjara Fonseca Cantelmo, Daniel Furtado Ferreira   +1 more
doaj   +1 more source

Monoexponential, biexponential and diffusion kurtosis MR imaging models: quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders

BMC Pregnancy and Childbirth, 2022
Background To investigate the diagnostic value of monoexponential, biexponential, and diffusion kurtosis MR imaging (MRI) in differentiating placenta accreta spectrum (PAS) disorders. Methods A total of 65 patients with PAS disorders and 27 patients with
Tao Lu, Yishuang Wang, Aiwen Guo, Wei Cui, Yazheng Chen, Shaoyu Wang, Guotai Wang   +6 more
doaj   +1 more source

Do Investors React Differently to GHG Emission in Stock Pricing Across Firms? Evidence From Commonwealth African Countries Using a Novel Wavelet‐Enhanced QQR Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon, Adeolu O. Adewuyi, Simplice A. Asongu   +2 more
wiley   +1 more source

Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data. [PDF]

NMR Biomed
Our hierarchical Bayesian modelling (HBM) technique is demonstrated in two neuroimaging diffusion MRI models. When compared with least‐squares (LSQ) minimisation, HBM increased the accuracy, precision, contrast‐to‐noise ratio and parameter map quality in simulated and human data. HBM also resolved local parameter variations associated with white matter
Powell E, Maskery M, Emsley HCA, Parkes LM, Parker GJM, Slator PJ.   +5 more
europepmc   +2 more sources