Results 71 to 80 of about 2,377,021 (287)

Perlukah Cross Validation dilakukan? Perbandingan antara Mean Square Prediction Error dan Mean Square Error sebagai Penaksir Harapan Kuadrat Kekeliruan Model [PDF]

open access: yes, 2009
Seleksi model merupakan tahapan terakhir dari suatu analisis regresi. Salah satu pendekatan yang sering dipergunkan adalah cross-validation. Ukuran mean square prediction error (MSPE) dianggap sebagai ukuran yang lebih baik untuk mengevaluasi tingkat ...
Yusep, Suparman
core  

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

open access: yesAnnals 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

Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease

open access: yesAnnals 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

Low‐complexity channel estimation for time division duplex massive multi‐user multi‐input multi‐output systems

open access: yesIET Communications, 2021
This paper addresses the problem of minimum mean square error channel estimator for time division duplex massive multi‐user multi‐input multi‐output systems. It is noteworthy that, the minimum mean square error has been previously proposed for multi‐cell
Muamer Hawej, Yousef R. Shayan
doaj   +1 more source

Minimum mean square error estimation [PDF]

open access: yesApplications of Mathematics, 1979
In many cases we can consider the regression parameters as realizations of a random variable. In these situations the minimum mean square error estimator seems to be useful and important. The explicit form of this estimator is given in the case that both the covariance matrices of the random parameters and those of the error vector are singular.
openaire   +2 more sources

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

open access: yesAnnals 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

Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months

open access: yesAnnals 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

Mean estimation using an efficient class of estimators based on simple random sampling: Simulation and applications

open access: yesAlexandria Engineering Journal
In this article, we offer simple random sampling (SRS) based efficient class of estimators of population mean Y¯ utilizing additional information. The expression of the mean square error of the proposed class of estimators is deduced up to first degree ...
Anoop Kumar   +5 more
doaj   +1 more source

Comparison between the Cramer-Rao and the mini-max approaches in quantum channel estimation

open access: yes, 2010
In a unified viewpoint in quantum channel estimation, we compare the Cramer-Rao and the mini-max approaches, which gives the Bayesian bound in the group covariant model. For this purpose, we introduce the local asymptotic mini-max bound, whose maximum is
A. Fujiwara   +35 more
core   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy