Results 91 to 100 of about 306,812 (282)
Do instructional attributes pose multicollinearity problems? An empirical exploration [PDF]
It is commonly perceived that variables ‘measuring’ different dimensions of teaching (construed as instructional attributes) used in student evaluation of teaching (SET) questionnaires are so highly correlated that they pose a serious multicollinearity ...
Hong Son Nghiem, Mohammad Alauddin
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An empirical investigation of failing companies and their determinants using the hazard model in an emerging capital market [PDF]
, 2005 The purpose of this study is to highlight the predictors of financial distress during the period 1990 to 2000. Previous studies highlight the inadequacies of the MDA and the log it models and suggest that a hazard model gives a more accurate result due ...
Abdullah, Nur Adiana Hiau +1 more
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Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
MELE: MAXIMUM ENTROPY LEUVEN ESTIMATORS [PDF]
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls of their own. The ridge estimator is not generally accepted as a vital alternative to the ordinary least-squares (OLS) estimator because it depends upon ...
Paris, Quirino
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Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Average group effect of strongly correlated predictor variables is estimable
, 2018 It is well known that individual parameters of strongly correlated predictor variables in a linear model cannot be accurately estimated by the least squares regression due to multicollinearity generated by such variables.
Tsao, Min
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Effects of Asset Structure, Operating Cash Flow, and Profitability on Debt Policy in Property and Real Estate Companies on the Indonesia Stock Exchange Period 2013-2017 [PDF]
, 2018 This study aims to determine the effect of asset structure, operating cash flow, and profitability on debt policy in property and real estate companies in the Indonesia Stock Exchange in 2013-2017. The analytical method used is multiple linear regression,
Guci, S. T. (Siti) +4 more
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American Journal of Industrial Medicine, EarlyView.ABSTRACT Introduction It is well established that exposure to chemical, radiological, and biological hazards in the workplace are infertility risk factors. Although workplace‐specific infertility risks have been documented, the associations between employment history and infertility risk remain largely unexplored.
Cerine Benomar +2 more
wiley +1 more source
StatsMulticollinearity in logistic regression models can result in inflated variances and yield unreliable estimates of parameters. Ridge regression, a regularized estimation technique, is frequently employed to address this issue.
H. M. Nayem +2 more
doaj +1 more source
Modeling Bangladesh's gross domestic product using regression approach [PDF]
, 2016 This study finds the factors that affect Bangladesh’s Gross Domestic Product (GDP) through regression approach. Stepwise and Ridge regression techniques have been applied to build the suitable regression model.
Das, K. R. +4 more
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