Results 141 to 150 of about 132,600 (302)
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
ABSTRACT The present longitudinal study focuses on FMR1 premutation carrier women during midlife and early old age (n = 115). Bringing together the genetic risk factor of a family history of FXTAS and the environmental protective factor of higher education, the goal of the study was to determine how these factors potentially interact to predict self ...
Jinkuk Hong +4 more
wiley +1 more source
Descriptive, bivariate correlation, and multicollinearity analysis.
Descriptive, bivariate correlation, and multicollinearity analysis.
Chunyan Liu (44864) +2 more
core +1 more source
ABSTRACT Evidence on developmental milestones in children with arthrogryposis multiplex congenita (AMC) under the age of five is scarce. This multisite cross‐sectional study described developmental status and examined factors associated with milestone attainment in 143 children aged 0–66 months from a pediatric AMC Registry.
Ahlam Zidan +13 more
wiley +1 more source
Optimal generalized shrunken least squares estimator in linear models
It is widely acknowledged that, in a linear model, when the predictor variables are highly correlated so that the design matrix is nearly singular, the Ordinary Least Squares (OLS) estimator may have poor performance due to its large variance and ...
Zhang, Zhiming
core
Evaluating the Impact of Multicollinearity on Regression
In empirical regression analysis, the existence of high multicollinearity suggests that predictors may provide redundant information and cause a reduction in statistical power.
Feng, Wei +2 more
core
ABSTRACT Robust measurement of disadvantage is essential to identifying and addressing inequities in children's development. We tested how a multidimensional framework of child disadvantage performed relative to a traditional socioeconomic position (SEP) approach to predict developmental outcomes.
Wei Hong +7 more
wiley +1 more source
Multicollinearity, autocorrelation, and ridge regression
The presence of multicollinearity can induce large variances in the ordinary Least-squares estimates of repression coefficients. It has been shown that ridge regression can reduce this adverse effect on estimation.
Hsu, Jackie Jen-Chy
core

