Tractometry‐Based Estimation of Corticospinal Tract Injury to Assess Initial Impairment and Predict Functional Outcomes in Ischemic Stroke Patients
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27911
Abstract: Corticospinal tract (CST) injury has been shown to exert a major influence on functional recovery after ischemic stroke. read more here.
Keywords: injury; estimation corticospinal; based estimation; ischemic stroke ... See more keywords
A Highly Accurate Pixel-Based FRAP Model Based on Spectral-Domain Numerical Methods
Sign Up to like & getrecommendations! Published in 2019 at "Biophysical Journal"
DOI: 10.1016/j.bpj.2019.02.023
Abstract: We introduce a new, to our knowledge, numerical model based on spectral methods for analysis of fluorescence recovery after photobleaching data. The model covers pure diffusion and diffusion and binding (reaction-diffusion) with immobile binding sites,… read more here.
Keywords: recovery; estimation; diffusion; pixel based ... See more keywords
Model-based estimation of the reaction forces in an elastic system supporting large-size crankshafts during measurements of their geometric quantities
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107543
Abstract: Abstract We have previously described a novel crankshaft support system that can be used when measuring and testing crankshafts. Here, we extend our studies on this system using mathematical models (basic polyharmonic, spline-based polyharmonic, and… read more here.
Keywords: model based; reaction forces; system; based estimation ... See more keywords
CBPS-based estimation for linear models with responses missing at random
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1371752
Abstract: ABSTRACT In this article, based on the covariate balancing propensity score (CBPS), estimators for the regression coefficients and the population mean are obtained, when the responses of linear models are missing at random. It is… read more here.
Keywords: estimation linear; cbps based; based estimation; missing random ... See more keywords
Kernel-based estimation of P(X < Y) when X and Y are dependent random variables based on progressive type II censoring
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1774058
Abstract: The most widely used approach for reliability estimation is the well-known stress-strength model, θ = P(X read more here.
Keywords: estimation; random variables; kernel based; based estimation ... See more keywords
Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Epidemiology"
DOI: 10.1093/ije/dyy080
Abstract: Abstract Background A robust method for Mendelian randomization does not require all genetic variants to be valid instruments to give consistent estimates of a causal parameter. Several such methods have been developed, including a mode-based… read more here.
Keywords: estimation; model averaging; method; based estimation ... See more keywords
FP104BIOPSY-BASED ESTIMATION OF THE TOTAL NEPHRON NUMBER IN JAPANESE HEALTHY SUBJECTS
Sign Up to like & getrecommendations! Published in 2018 at "Nephrology Dialysis Transplantation"
DOI: 10.1093/ndt/gfy104.fp104
Abstract: INTRODUCTION AND AIMS: It has been suggested that individuals with a low nephron number may have an increased lifetime risk of hypertension or renal insufficiency, thereby emphasizing the importance of evaluating the total nephron number… read more here.
Keywords: estimating tnn; fp104biopsy based; total nephron; based estimation ... See more keywords
${H} _\infty $ Based Estimation of Nonlinear Systems
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2017.2718478
Abstract: This letter presents a ${H} _{\infty }$ criterion-based recursive filter of nonlinear systems with nonlinear dynamics and measurement. The filter is based on the deterministic-statistical approach to estimation. The solution is based on three components:… read more here.
Keywords: estimation; infty based; based estimation; nonlinear systems ... See more keywords
Tree Ring-Based Estimation of Landslide Areal Reactivation as a Fundament of Magnitude–Frequency Assessment
Sign Up to like & getrecommendations! Published in 2020 at "Forests"
DOI: 10.3390/f11040400
Abstract: Magnitude–frequency (M–F) relationships represent important information on slope deformation and are used in hazard assessment or as supporting data for urban planning. Various approaches have been used to extract such relationships in the past, but… read more here.
Keywords: tree ring; frequency; based estimation; ring based ... See more keywords
Determining the Sample size for Estimation of the CCC-R Control Chart Parameters Based on Estimation Costs
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Engineering, Transactions B: Applications"
DOI: 10.5829/idosi.ije.2017.30.02b.12
Abstract: In today's highly competitive industrial environment due to fast technology development, quality practitioners will to detect out-of-control situations and take actions whenever is necessary as soon as possible. Accordingly, new statistical procedures have been enhanced… read more here.
Keywords: ccc; estimation; control; based estimation ... See more keywords