Results 31 to 40 of about 190,253 (294)
Statistica, 2013 In this paper, we shall make use of the properties of the k-th upper record values to develop the inferential procedures such as point estimation.
Jagdish Saran, Aparna Pandey
doaj +1 more source
BLUE filter with fused range estimation
The Journal of Engineering, 2019 The non-linear filter is subject to divergence for close-range target tracking; an adaptive best linear unbiased estimation (BLUE) filter with fused range estimation is presented.
Sheng Hu, Zhao Wen-bo, Tang Si-yuan
doaj +1 more source
Robust small area estimation under spatial non-stationarity [PDF]
, 2016 Geographically weighted small area methods have been studied in literature for small area estimation. Although these approaches are useful for the estimation of small area means efficiently under strict parametric assumptions, they can be very sensitive ...
Baldermann, Claudia +2 more
core +2 more sources
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
n effective treatment of adding-up restrictions in the inference of a general linear model
AIMS Mathematics, 2023 This article offers a general procedure of carrying out estimation and inference under a linear statistical model $ {\bf y} = {\bf X} \pmb{\beta} + \pmb{\varepsilon} $ with an adding-up restriction $ {\bf A} {\bf y} = {\bf b} $ to the observed random ...
Yongge Tian
doaj +1 more source
Best Linear Unbiased Estimators for Repeated Surveys
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1980 Summary Recent work on the problem of obtaining best linear unbiased estimators from a sample survey which is repeated on several occasions has centred on the effects of extending the model assumptions to allow for stochastic variation in the parameters being estimated.
openaire +2 more sources
Limited-Feedback-Based Channel-Aware Power Allocation for Linear Distributed Estimation [PDF]
, 2013 This paper investigates the problem of distributed best linear unbiased estimation (BLUE) of a random parameter at the fusion center (FC) of a wireless sensor network (WSN).
Fanaei, Mohammad +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown +6 more
wiley +1 more source
Small area estimation for spatially correlated populations - a comparison of direct and indirect model-based methods [PDF]
, 2007 Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate SAE based on linear models with spatially correlated small area effects where the neighbourhood structure is described by a contiguity matrix. Such models
Chambers, Ray +2 more
core +1 more source