Results 141 to 150 of about 56,994 (264)

Board Gender Diversity and Circular Business Performance: A Novel Moderated Mediation Framework in Emerging Economies

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the influence of female directors on circular business performance (CBP), incorporating the mediating role of environmental orientation and the moderating roles of institutional pressure and stakeholder engagement. Drawing on Behavioral Agency Theory and the Natural Resource Based View, we argue that board gender diversity ...
Wu Ning, Ummar Faruk Saeed, Hela Borgi, Maxwell Kongkuah   +3 more
wiley   +1 more source

Determinants of cardiopulmonary fitness in individuals poststroke: based on quantile regression analysis. [PDF]

BMC Neurol
Zhang Z, Duan Z, Wu H, Wang G, Ling H, Li P, Wu S, Du X.   +7 more
europepmc   +1 more source

Does Disclosure Type Matter? Climate‐Related Financial Disclosures and Corporate Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT Our study examines the financial implications of corporate climate‐related financial disclosures while distinguishing between quantitative and qualitative disclosures. We use a multiple‐period difference‐in‐differences approach to analyze Japanese firms listed on the Tokyo Stock Exchange Prime Market from 2019 to 2023.
Alexander Ryota Keeley, Jun Xie, Chao Li, Masaaki Nagamura, Shunsuke Managi   +4 more
wiley   +1 more source

Multivariate phase‐dependent optimization of bioprocesses boosts performance and quality—Why timing (of exposure) matters

Biotechnology Progress, EarlyView.
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle, Lisa Junghans, Anja Wittmann, Stefan Wieschalka, Ralf Takors, Nicole Erika Radde, Beate Presser, Verena Nold   +7 more
wiley   +1 more source

Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression. [PDF]

Stat Med
Qin C, Xue L, Beyaztas U, Zoh RS, Benden M, Goldsmith J, Tekwe CD.   +6 more
europepmc   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

A case study on using quantile regression in psychiatry research. [PDF]

Front Psychiatry
Shankar RG, Kandavel T, Kashyap H, Reddy YCJ.   +3 more
europepmc   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

Quantile Regression in Epidemiology: Capturing Heterogeneity Beyond the Mean. [PDF]

Methods Protoc
Gnardellis C.
europepmc   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source