Results 61 to 70 of about 128,596 (295)
Frontiers in Nonparametric Statistics [PDF]
, 2012 The goal of this workshop was to discuss recent developments of nonparametric statistical inference. A particular focus was on high dimensional statistics, semiparametrics, adaptation, nonparametric bayesian statistics, shape constraint estimation and ...
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Cogent Social Sciences, 2020 The coronavirus disease 2019 (COVID-19) has become a huge threat to global public health and affected 188 countries and territories. As of May 24, 2020, it has caused a pandemic outbreak with more than 5,311,0893 confirmed infections and more than 342 ...
Yan-Kai Fu
doaj +1 more source
Practical Nonparametric Statistics [PDF]
, 1999 Buku ini menyajikan tinjauan teori probabilitas dan inferensi statistik serta mencakup pengujian berdasarkan distribusi binomial dan multinomial serta metode berdasarkan peringkat dan distribusi empiris.
Conover, W. J.
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Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants
Annals of Clinical and Translational Neurology, EarlyView.Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants. ABSTRACT Objective Return of disease activity is expected when patients discontinue disease‐modifying therapy (DMT) for multiple sclerosis (MS). Some MS DMTs are associated with higher‐than‐expected disease activity (rebound) after discontinuation.
Ralf Gold +12 more
wiley +1 more source
Resilient Cities and StructuresThis paper proposes a set of nonparametric statistical tools for analyzing the system resilience of civil structures and infrastructure and its migration upon changes in critical system parameters.
ZhiQiang Chen, Prativa Sharma
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Ekonomski Signali, 2017 Rank tests are the most important methods of nonparametric statistics. In the introductory part, there are discussions of parametric and nonparametric metods and as a result of those discussions it is established that the rank tests are one of the most ...
Timotijević Marjana
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Parameters behind "nonparametric" statistics: Kendall's tau,Somers' D and median differences [PDF]
So-called "nonparametric" statistical methods are often in fact based on population parameters, which can be estimated (with confidence limits) using the corresponding sample statistics.
Roger Newson
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The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp +4 more
wiley +1 more source
Estimation and model specification testing in nonparametric and semiparametric econometric models [PDF]
This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
King, Maxwell, Gao, Jiti
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source