Results 51 to 60 of about 490,818 (297)

Fluctuation Analysis of the Atmospheric Energy Cycle

, 2018
The atmosphere gains available potential energy by solar radiation and dissipates kinetic energy mainly in the atmospheric boundary layer. We analyze the fluctuations of the global mean energy cycle defined by Lorenz (1955) in a simulation with a ...
Blender, Richard, Gohlke, Denny, Lunkeit, Frank   +2 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

ALS With and Without Upper Motor Neuron Signs: A Comparative Study Supporting the Gold Coast Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung, E‐nae Cheong, Jungmin So, Heung‐Won Kang, Yangsean Choi, Eun‐Jae Lee, Hyunjin Kim, Young‐Min Lim   +7 more
wiley   +1 more source

Mengenal Data Ekstrim dan Distribusinya

Jurnal Teknik Industri, 2011
People adopt many definitions for extremes. One such definition is that extremes are simply the upper tail data. In this paper we briefly review the types of upper tail data, the limiting distribution of extreme values, the analysis and the model ...
Indriati Bisono
doaj  

Global fluctuations and Gumbel statistics

, 2005
We explain how the statistics of global observables in correlated systems can be related to extreme value problems and to Gumbel statistics. This relationship then naturally leads to the emergence of the generalized Gumbel distribution G_a(x), with a ...
E. J. Gumbel, Eric Bertin, J. Villain, W. Feller   +3 more
core   +2 more sources

Trivariate generalized extreme value distribution in flood frequency analysis [PDF]

Hydrological Sciences Journal, 2008
Abstract The multivariate extension of the logistic model with generalized extreme value (GEV) marginals is applied to provide a regional at-site flood estimate. The maximum likelihood estimators of the parameters were obtained numerically by using a multivariable constrained optimization algorithm.
CARLOS ESCALANTE SANDOVAL, JOSE RAYNAL-VILLASEÑOR   +1 more
openaire   +1 more source

Sex Representation in US Stroke Clinical Trials: A Decade of Trends and Challenges

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stroke remains a major cause of disability and mortality in the US, with significant sex‐based disparities, and females remain underrepresented in stroke clinical trials. We aimed to examine sex representation in US‐based stroke clinical trials, identify trial characteristics associated with higher female enrollment (≥ 50%), and ...
Chaitali Dagli, Mudasir Andrabi, Tova Cohen, Pranali G. Patel, Tapasya Katta, Chen Lin   +5 more
wiley   +1 more source

Robust Estimators in Generalized Pareto Models

, 2011
This paper deals with optimally-robust parameter estimation in generalized Pareto distributions (GPDs). These arise naturally in many situations where one is interested in the behavior of extreme events as motivated by the Pickands-Balkema-de Haan ...
Basel Committee on Banking Supervision, Bickel P. J., Brazauskas V., Cope E. W., Development Core Team R, Donoho D. L., Dupuis D. J., Dupuis D. J., Dupuis D. J., Fernholz L. T., Field C., Hampel F. R., He X., Horbenko N., Hájek J., Juárez S. F., Nataliya Horbenko, Neslehova J., Peng L., Peter Ruckdeschel, Rieder H., Ruckdeschel P., Ruckdeschel P., Tsourti Z., Vandewalle B.   +24 more
core   +1 more source

Asymptotic posterior normality of the generalized extreme value distribution

, 2021
The univariate generalized extreme value (GEV) distribution is the most commonly used tool for analyzing the properties of rare events. The ever greater utilization of Bayesian methods for extreme value analysis warrants detailed theoretical investigation, which has thus far been underdeveloped.
Zhang, Likun, Shaby, Benjamin A.
openaire   +2 more sources

Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients

Arthritis Care &Research, EarlyView.
Objective Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla, Timothy G. Brandon, Dmitry Khrichenko, Rui Xiao, Nancy A. Chauvin, Asef Khwaja, Pamela F. Weiss   +6 more
wiley   +1 more source