Results 61 to 70 of about 2,712,723 (299)
Maximun entropy Leuven estimators and multicollinearity
A novel class of estimators, called maximum entropy Leuven (MEL) estimators, is presented and its performance is illustrated by Monte Carlo experiments. These estimators are inspired by the theory of light.
Quirino Paris
doaj +1 more source
Discontinuous parameter estimates with least squares estimators
We discuss weighted least squares estimates of ill-conditioned linear inverse problems where weights are chosen to be inverse error covariance matrices. Least squares estimators are the maximum likelihood estimate for normally distributed data and parameters, but here we do not assume particular probability distributions.
openaire +3 more sources
Consistent estimation in an implicit quadratic measurement error model
An adjusted least squares estimator is derived that yields a consistent estimate of the parameters of an implicit quadratic measurement error model. In addition, a consistent estimator for the measurement error noise variance is proposed.
Er Kukush +5 more
core +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
The Exact Moments of the Two-Stage Least Squares Estimators in the General Dynamic Model [PDF]
While there has been an extensive literature on the estimation methods (mostly large sample) for the model yt = a yt_i + XtB there has been no serious attempt on the estimation analysis for the model consdering finite sample.
G.A. Ghazal
doaj +1 more source
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez +5 more
wiley +1 more source
truncSP: An R Package for Estimation of Semi-Parametric Truncated Linear Regression Models
Problems with truncated data occur in many areas, complicating estimation and inference. Regarding linear regression models, the ordinary least squares estimator is inconsistent and biased for these types of data and is therefore unsuitable for use ...
Maria Karlsson, Anita Lindmark
doaj +1 more source
Selecting Wavelengths for Least Squares Range Estimation [PDF]
We consider the problem of estimating the distance, or range, between two locations by measuring the phase of multiple sinusoidal signals transmitted between the locations. Traditional estimators developed for optical interferometry include the beat wavelength and excess fractions methods.
Assad Akhlaq +3 more
openaire +2 more sources
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
A Monte Carlo Study of the Residuals of System Estimators in the Presence of Multicollinearity
Residual analysis is often used to evaluate the precision of the parameter estimates of econometric models. Analysis of residuals from regression is an important way of assessing the performance of a regression model in achieving the goal of accounting ...
Emmanuel Oduntan
doaj +1 more source

