Results 111 to 120 of about 5,491 (290)
Estimation in regret-regression using quadratic inference functions with ridge estimator. [PDF]
Abdul Jalil NR +2 more
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Topography‐Regulated Screening Platform for Myoblast Contact Guidance
This study develops a topography‐regulated screening platform (12 gradients in 96‐topography‐well plate) enabling analysis of skeletal muscle morphogenesis. The topography‐induced cell morphology changed, cell polarization, and myotube differentiation, establishing an evaluative framework for generating pathologically relevant myotube phenotypes to ...
Tianqi Feng +6 more
wiley +1 more source
Ridge, a computer program for calculating ridge regression estimates /
Least-squares coefficients for multiple-regression models may be unstable when the independent variables are highly correlated. Ridge regression is a biased estimation procedure that produces stable estimates of the coefficients. Ridge regression is discussed, and a computer program for calculating the ridge coefficients is presented.
Donald E. Hilt, Donald W. Seegrist
openaire +2 more sources
The feasible generalized restricted ridge regression estimator
The presence of autocorrelation in errors and multicollinearity among the regressors have undesirable effects on the least-squares regression. There are a wide range of methods which are proposed to overcome the usefulness of the ordinary least-squares ...
Kaçıranlar S., Özbay N., Dawoud I.
core +1 more source
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk +7 more
wiley +1 more source
Jackknifing the Ridge Regression Estimator: A Revisit. [PDF]
Singh et al. (1986) proposed an almost unbiased ridge estimator using Jackknife method that required transformation of the regression parameters. This article shows that the same method can be used to derive the Jackknifed ridge estimator of the ...
Khurana, Mansi +2 more
core
Magnetic Droplet Manipulation on Open Surfaces
Recent advances in the manipulation of magnetic droplets demonstrate various manipulations on open surfaces, including transport, splitting, merging, and force‐controlled motion, enabled by magnetic particles and external fields. ABSTRACT Manipulation of liquids on a smaller scale enables applications in various fields, particularly diagnostics and ...
Robab Jahangir, Vahid Nasirimarekani
wiley +1 more source
KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS
Ordinary least square is a parameter estimations for minimizing residual sum of squares. If the multicollinearity was found in the data, unbias estimator with minimum variance could not be reached.
HANY DEVITA +2 more
doaj +1 more source
A proline‐integrated donor–acceptor fluorophore enables multifunctional luminescence through rational molecular design. Water‐vapor‐responsive mechanochromic luminescence (MCL) with circularly polarized luminescence (CPL) switching and efficient visualization of latent fingerprints (LFPs) are realized from this single small organic molecule.
Hao Chen +3 more
wiley +1 more source

