Results 91 to 100 of about 782,515 (314)
Classical and modified rescaled range analysis: Sampling properties under heavy tails [PDF]
Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range.
Ladislav Kristoufek
core +1 more source
Can the box plot be improved? [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2005 Invented by Spear in 1952 and popularized by Tukey in 1977, the box plot is widely used for displaying and comparing samples of continuous observations.
Chamnein Choonpradub, Don McNeil
doaj
Robust statistics, hypothesis testing, and confidence intervals for persistent homology on metric measure spaces [PDF]
arXiv, 2012 We study distributions of persistent homology barcodes associated to taking subsamples of a fixed size from metric measure spaces. We show that such distributions provide robust invariants of metric measure spaces, and illustrate their use in hypothesis testing and providing confidence intervals for topological data analysis.
arxiv
ADAPT NXT: Fixed Cycles or Every‐Other‐Week IV Efgartigimod in Generalized Myasthenia Gravis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This phase 3b, open‐label, randomized ADAPT NXT study investigated the efficacy, safety, and tolerability of efgartigimod administered in either a fixed cycles dosing regimen (3 cycles of 4 once‐weekly infusions, with 4 weeks between cycles) or a cycle followed by every‐other‐week (Q2W) dosing.
Ali A. Habib +16 more
wiley +1 more source
Classical and modified rescaled range analysis: Sampling properties under heavy tails [PDF]
, 2009 Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range.
Krištoufek, Ladislav
core
On Confidence Intervals of Robust Regression Estimators
Korean Journal of Applied Statistics, 2006 Since it is well-established that even high quality data tend to contain outliers, one would expect fat? greater reliance on robust regression techniques than is actually observed. But most of all robust regression estimators suffers from the computational difficulties and the lower efficiency than the least squares under the normal error model.
Lee Dong-Hee +2 more
openaire +3 more sources
Robust confidence intervals for the difference of two independent population variances
Hacettepe Journal of Mathematics and Statistics, 2020 In this study, we propose confidence intervals and their bootstrap versions for the difference of variances of two independent population using some robust variance estimators. The proposed confidence intervals are compared with Herbert confidence interval in terms of coverage probability and average width.
Hayriye Esra AKYÜZ +1 more
openaire +4 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau +12 more
wiley +1 more source
Model validation for a noninvasive arterial stenosis detection problem
Mathematical Biosciences and Engineering, 2013 A current thrust in medical research is the development of a non-invasive method for detection, localization, and characterization of an arterial stenosis (a blockage or partial blockage in an artery).
H. Thomas Banks +8 more
doaj +1 more source
Comparing Seventeen Interval Estimates for a Bivariate Normal Correlation Coefficient [PDF]
arXiv, 2014 In this paper, we consider the problem of constructing confidence interval for the correlation coefficient in a bivariate normal distribution. For this problem, we found fifteen approaches in literatures. Also, we have proposed a generalized confidence interval and a parametric bootstrap confidence interval.
arxiv