Results 111 to 120 of about 1,262,797 (340)

Generalized Gumbel model for r-largest order statistics, with an application to peak streamflow

open access: yesScientific Reports
The effective use of available information in extreme value analysis is critical because extreme values are scarce. Thus, applying the r-largest order statistics (rLOS) instead of the block maxima is encouraged in general.
Yire Shin, Jeong-Soo Park
doaj   +1 more source

Improved Probability-Weighted Moments and Two-Stage Order Statistics Methods of Generalized Extreme Value Distribution

open access: yesMathematics
This study evaluates six parameter estimation methods for the generalized extreme value (GEV) distribution: maximum likelihood estimation (MLE), two probability-weighted moments (PWM-UE and PWM-PP), and three robust two-stage order statistics estimators (
Autcha Araveeporn
doaj   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund   +3 more
wiley   +1 more source

Concomitants of Order Statistics and Record Values from Generalization of FGM Bivariate-Generalized Exponential Distribution

open access: yesJournal of Statistical Theory and Applications (JSTA), 2019
We introduce the generalized Farlie–Gumbel–Morgenstern (FGM) type bivariate-generalized exponential distribution. Some distributional properties of concomitants of order statistics as well as record values for this family are studied.
H. M. Barakat   +3 more
doaj   +1 more source

Distance statistics in random media: high dimension and/or high neighborhood order cases

open access: yes, 2014
Consider an unlimited homogeneous medium disturbed by points generated via Poisson process. The neighborhood of a point plays an important role in spatial statistics problems. Here, we obtain analytically the distance statistics to $k$th nearest neighbor
Granzotti, Cristiano Roberto Fabri   +1 more
core   +1 more source

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew   +11 more
wiley   +1 more source

Moment inequalities for U-statistics

open access: yes, 2007
We present moment inequalities for completely degenerate Banach space valued (generalized) U-statistics of arbitrary order. The estimates involve suprema of empirical processes which, in the real-valued case, can be replaced by simpler norms of the ...
Adamczak, Radosław
core   +1 more source

Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas   +7 more
wiley   +1 more source

Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models [PDF]

open access: yes
This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S).
Harald Badinger, Peter Egger
core  

Generalized Zero-One Laws for Large-Order Statistics [PDF]

open access: yesBernoulli, 1997
Let \(Z_{rn}\) be the \(r\)th largest (\(r\geq 1\)) of \(\{X_1,X_2,\ldots,X_n\}\), where \(X_1,X_2,\ldots\) is a sequence of i.i.d. random variables with the distribution function \(F(x)\). The main result of the paper states that \(P\{Z_{rn}\leq u_n,\;\text{i.o.}\}=0\) or 1 accordingly as the series \[ \sum_{n=1}^\infty\exp\bigl[ -n\big\{ 1-F(u_n)\big\
openaire   +2 more sources

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