Results 91 to 100 of about 33,887 (293)
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
Multi-task Regression using Minimal Penalties [PDF]
In this paper we study the kernel multiple ridge regression framework, which we refer to as multi-task regression, using penalization techniques. The theoretical analysis of this problem shows that the key element appearing for an optimal calibration is ...
Arlot, Sylvain +2 more
core +6 more sources
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha +12 more
wiley +1 more source
Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]
We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Esra Akdeniz Duran +2 more
core
METODE REGRESI RIDGE UNTUK MENGATASI MULTIKOLINIERITAS PADA INDIKATOR KONSTRUKSI DI PROVINSI ACEH [PDF]
ABSTRAKPenelitian ini dilakukan untuk mengamati hubungan yang terjadi antara indikator-indikator konstruksi (sebagai variabel bebas), dan nilai konstruksi (sebagai variabel tak bebas).
Siti Zakirah
core
3D‐Printed Gastrointestinal Stents: In Vivo Evaluation in a Swine Small Bowel Perforation Model
Gastrointestinal fistulae and perforations can lead to severe complications including sepsis and patient death. In this work, the efficacy of 3D‐printed gastrointestinal stents composed of poly‐lactic‐acid (PLA) was evaluated in an in vivo swine model.
Gweniviere Capron +9 more
wiley +1 more source
Constructing confidence intervals for the coefficients of high-dimensional sparse linear models remains a challenge, mainly because of the complicated limiting distributions of the widely used estimators, such as the lasso.
Li, Jingyi Jessica +2 more
core +1 more source
Generalized Mode and Ridge Estimation
The generalized density is a product of a density function and a weight function. For example, the average local brightness of an astronomical image is the probability of finding a galaxy times the mean brightness of the galaxy. We propose a method for studying the geometric structure of generalized densities.
Chen, Yen-Chi +2 more
openaire +2 more sources
POM‐Based Water Splitting Catalyst Under Acid Conditions Driven by Its Assembly on Carbon Nanotubes
A newly‐engineered POM‐based electrocatalyst incorporating non‐innocent counter cations exhibits fast kinetics for either the OER or HER under strongly acidic conditions (1 m H2SO4), depending on whether it is assembled on carbon nanotubes (1@CNT) or physically mixed with them (1/CNT). In water‐splitting tests using a two‐electrode setup, these systems
Eugenia P. Quirós‐Díez +8 more
wiley +1 more source
This paper addresses the challenge of multicollinearity in regression models, a condition that inflates the standard errors of coefficients, leading to unreliable estimates and wider confidence intervals.
Nadeem Akhtar, Muteb Faraj Alharthi
doaj +1 more source

