Results 101 to 110 of about 994,443 (373)
An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator
This paper considers a new class of heteroskedasticity and autocorrelation consistent (HAC) covariance matrix estimators. The estimators considered are prewhitened kernel estimators with vector autoregressions employed in the prewhitening stage.
D. Andrews, J. Monahan
semanticscholar +1 more source
Glutaredoxin (Grx) 3 proteins contain a thioredoxin domain and one to three class II Grx domains. These proteins play a crucial role in iron homeostasis in eukaryotic cells. In human Grx3, at least one of the two Grx domains, together with the thioredoxin domain, is essential for its function in iron metabolism.
Laura Magdalena Jordt+4 more
wiley +1 more source
Black box systems identification with estimation
In a black box system the internal parameters are not observables between input-output relationships. An approach is made knowing as estimation, based on the second probability moment. These results with a functional error and the innovation
María Teresa Zagceta Álvarez+2 more
doaj +1 more source
Re-calibration of sample means [PDF]
We consider the problem of calibration and the GREG method as suggested and studied in Deville and Sarndal (1992). We show that a GREG type estimator is typically not minimal variance unbiased estimator even asymptotically. We suggest a similar estimator
Greenshtein, E., Ritov, Y.
core
Disruption of SETD3‐mediated histidine‐73 methylation by the BWCFF‐associated β‐actin G74S mutation
The β‐actin G74S mutation causes altered interaction of actin with SETD3, reducing histidine‐73 methylation efficiency and forming two distinct actin variants. The variable ratio of these variants across cell types and developmental stages contributes to tissue‐specific phenotypical changes. This imbalance may impair actin dynamics and mechanosensitive
Anja Marquardt+8 more
wiley +1 more source
Development of adaptive sideslip angle estimator
The sideslip angle is used to control a vehicle for safety, however, it is hard to estimate the sideslip angle. In many researches, the estimator needs many unattainable variables, such as yaw inertia or cornering stiffness, to estimate the sideslip ...
ChanHo PARK+4 more
doaj +1 more source
The nonlinear fixed-effects model has two shortcomings, one practical and one methodological. The practical obstacle relates to the difficulty of computing the MLE of the coefficients of non-linear models with possibly thousands of dummy variable ...
W. Greene
semanticscholar +1 more source
On Improved Loss Estimation for Shrinkage Estimators
Let $X$ be a random vector with distribution $P_ $ where $ $ is an unknown parameter. When estimating $ $ by some estimator $ (X)$ under a loss function $L( , )$, classical decision theory advocates that such a decision rule should be used if it has suitable properties with respect to the frequentist risk $R( , )$.
Fourdrinier, Dominique, Wells, Martin T.
openaire +4 more sources
Purification tags markedly affect self‐aggregation of CPEB3
Although recombinant proteins are used to study protein aggregation in vitro, uncleaved tags can interfere with accurate interpretation. Our findings demonstrate that His₆‐GFP and His₁₂ tags significantly affect liquid droplet and amyloid fibril formation in the intrinsically disordered region (IDR) of mouse cytoplasmic polyadenylation element‐binding ...
Harunobu Saito+6 more
wiley +1 more source
Application of the Scaling Functions to Nonparametric Regression [PDF]
For estimating regression function we can use many proceedings. In this paper, we have chosen to apply scaling functions to the estimation of regression functions.
doaj