Results 91 to 100 of about 1,691,919 (306)
Revstat Statistical Journal, 2011 In this paper, we propose Bayes estimators of the parameter of the exponentiated gamma distribution and associated reliability function under General Entropy loss function for a censored sample.
Sanjay Kumar Singh +2 more
doaj +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Deconvolution Estimation in Measurement Error Models: The R Package decon [PDF]
Data from many scientific areas often come with measurement error. Density or distribution function estimation from contaminated data and nonparametric regression with errors in variables are two important topics in measurement error models.
Bin Wang, Xiao-Feng Wang
core
Outlier robust small area estimation
, 2011 Recently proposed outlier robust small area estimators can be substantially biased when outliers are drawn from a distribution that has a different mean from that of the rest of the survey data.
Chandra, Hukum +3 more
core +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
A posteriori error estimation for model order reduction of parametric systems
Advanced Modeling and Simulation in Engineering SciencesThis survey discusses a posteriori error estimation for model order reduction of parametric systems, including linear and nonlinear, time-dependent and steady systems.
Lihong Feng +2 more
doaj +1 more source
AxiomsAn efficient estimator can reduce both bias and mean squared error to provide more accurate results by using the transformation strategy. In this paper, an enhanced class of ratio–product types of estimators is introduced, which employs the ...
Fatimah A. Almulhim +1 more
doaj +1 more source
Employment Bootstrapping Approach to Finding New Ratio Estimators in Simple Random Sampling [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 This research boils down to find new ratio estimators instead of estimators of (Kadilar and Cingi ;2004) by replacing the regression parameter of the final estimators, which is estimated by ordinary least squares, with new parameter estimated by ...
doaj +1 more source
ERROR ESTIMATION AND ADAPTIVITY IN ELASTOPLASTICITY
International Journal for Numerical Methods in Engineering, 1996 Summary: A method is developed to control the parameters of a finite element computation for time-dependent material models. To evaluate discretization errors, we use a global error measure in constitutive relation based on Drucker's inequality. This error includes, over the studied time interval, the error of the finite element model and the error of ...
Gallimard, L. +2 more
openaire +3 more sources
, 2016 Equilibration error estimators have been shown to commonly lead to very accurate guaranteed error bounds in the a posteriori error control of finite element methods (FEMs) for second order elliptic equations.
Merdon, Christian, Eigel, Martin
core +1 more source