Results 101 to 110 of about 1,045,644 (311)
, 2023 This bachelor thesis provides an introduction to multivariate statistics, which is the analysis of data with multiple variables using statistical methods. The thesis focuses on the generalization of the normal distribution to random vectors, properties of the multivariate normal distribution, and non-parametric kernel estimation methods for estimating ...
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Approximate null distribution of the largest root in multivariate analysis
, 2010 The greatest root distribution occurs everywhere in classical multivariate analysis, but even under the null hypothesis the exact distribution has required extensive tables or special purpose software.
Johnstone, Iain M.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin +6 more
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Robust Statistics for Multivariate Methods
SSRN Electronic Journal, 2005 Robust statistics, as a concept, probably dates back to the prehistory of statistics. It has, however, been formalized in the sixties by the pioneering work of Huber and Hampel. Robust statistics is an extension of classical statistics, which takes into account the fact that models assumed to have generated the data at hand are only approximate.
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, 2016 We propose new summary statistics to quantify the association between the components in coverage-reweighted moment stationary multivariate random sets and measures.
van Lieshout, M. N. M.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song +6 more
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Analytic multivariate generating function for random multiplicative cascade processes
, 1998 We have found an analytic expression for the multivariate generating function governing all n-point statistics of random multiplicative cascade processes.
Eggers, Hans C. +2 more
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Arthritis Care &Research, EarlyView.Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder +5 more
wiley +1 more source
Multivariate Screening of the Weather Effect on Timber Bridge Movements
BioResources, 2016 Monitoring displacements and weather impact of complex structures, such as a large cable-stayed footbridge, generates a large amount of data. To extract, visualize, and classify health-monitoring data for better comprehension, multivariate statistical ...
Niclas Björngrim +2 more
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Arthritis Care &Research, Accepted Article.Objective Lupus low disease activity state (LLDAS) is a validated treatment target in systemic lupus erythematosus (SLE) but limited studies have explored the role of LLDAS in lupus nephritis (LN). This study aims to investigate the frequency and predictors of LLDAS attainment, and its benefit on LN relapse and renal function preservation in patients ...
Chak Kwan Cheung +6 more
wiley +1 more source