Results 81 to 90 of about 932,989 (354)
Bounded Perturbation Regularization for Linear Least Squares Estimation
IEEE Access, 2017 This paper addresses the problem of selecting the regularization parameter for linear least-squares estimation. We propose a new technique called bounded perturbation regularization (BPR). In the proposed BPR method, a perturbation with a bounded norm is
Tarig Ballal +2 more
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Design-based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator. [PDF]
Biometrics, 2022 Fattorini L +3 more
europepmc +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
Bootstrapping the Mean Integrated Squared Error
Journal of Multivariate Analysis, 1993 Let \(X_ 1,\dots,X_ n\) be a sequence of i.i.d. real random variables from an unknown density \(f\). For a given kernel \(K\) and a bandwidth \(h>0\), denote with \(f_ h\) the associated Parzen-Rosenblatt estimator of \(f\). There exists a huge literature on how to choose \(h\) in an optimal way.
openaire +1 more source
Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin +2 more
wiley +1 more source
پژوهشهای ریاضی, 2018 Introduction According to the classic sampling theory, errors that are mainly considered in the estimations are sampling errors. However, most non-sampling errors are more effective than sampling errors in properties of estimators.
Leader Navaei, Rasoul Imaz
doaj
Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte +13 more
wiley +1 more source
AIMS MathematicsThe issue of survey nonresponse causes substantial effects on the reliability, together with validity of study findings. This research develops precise estimation methods for two distinct nonresponse situations: when nonresponse happens to primary survey
Badr Aloraini
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Data Science Journal, 2009 This paper suggests a ratio-cum-product estimator of finite population mean using a correlation coefficient between study variate and auxiliary variate in stratified random sampling.
Rajesh Tailor
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Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mild traumatic brain injury (mTBI) may alter glymphatic function; however, its progression and variability remain obscure. This study examined glymphatic function following mTBI within 1 month and after 3 months post‐injury to determine whether variations in glymphatic function are associated with post‐traumatic symptom severity ...
Eunkyung Kim +3 more
wiley +1 more source