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A family of kurtosis orderings for multivariate distributions
Journal of Multivariate Analysis, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Shock and Vibration, 2021 Condition monitoring and compound fault diagnosis are crucial key points for ensuring the normal operation of rotating machinery. A novel method for condition monitoring and compound fault diagnosis based on the dual-kurtogram algorithm and multivariate ...
Zhiyuan Jiao, Wei Fan, Zhenying Xu
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Applied Multivariate Research, v.12 no.2 (complete version)
, 2006 The journal Applied Multivariate Research is sponsored by the Society for Applied Multivariate Research and specializes in publishing methodological and content papers that deal with the application of both classical and more modem multivariate ...
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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 +1 more
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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
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Adaptive Segmentation and Statistical Analysis for Multivariate Big Data Forecasting
Big Data and Cognitive ComputingForecasting high-volume, univariate, and multivariate longitudinal data streams is a critical challenge in Big Data systems, especially with constrained computational resources and pronounced data variability.
Desmond Fomo, Aki-Hiro Sato
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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 +6 more
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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
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Frontiers in OncologyBackgroundHepatocellular carcinoma (HCC) exhibits significant morphological heterogeneity that has traditionally been attributed to etiological, environmental, and biological factors.
Mohamed Eltaher +10 more
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Applied Multivariate Research, v.13 no.2 (complete version) [PDF]
, 2010 The second issue of Applied Multivariate Research edited by Dennis L. JacksonDigitized and published in SOAR:Shocker Open Access Repository by Wichita State University Libraries Technical Services.The effects of estimator choice and weighting strategies ...
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