Results 51 to 60 of about 79,637 (281)
Recombining Knowledge for Climate Innovation: Evidence From US Energy Incumbents
Business Strategy and the Environment, EarlyView.ABSTRACT As the climate crisis intensifies, energy incumbents must strategically transform their fossil‐fueled legacies to remain competitive and sustainable. Yet, little is known about how internal knowledge architectures and external industry positions jointly shape their capacity for climate innovation.
Kyung‐Baek Min +2 more
wiley +1 more source
Frontiers in EducationA simulation study is designed to explore the accuracy of attribute parameter estimation in the crossed random effects linear logistic test model (CRELLTM) with the impact of Q-matrix misspecification on attribute parameter estimation using the SAS ...
Yi-Hsin Chen +3 more
doaj +1 more source
BMC Genetics, 2006 Background Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate.
Wilson Alexander F +4 more
doaj +1 more source
Guidelines for Scale Development and Validation
Journal of Consumer Behaviour, EarlyView.ABSTRACT Scales, serving as measurement instruments composed of carefully designed items intended to capture latent constructs, play a critical role in advancing consumer theory and marketing practice. Yet, developing and validating scales poses a formidable challenge due to the diverse methods required to ensure rigor and robustness.
Weng Marc Lim +3 more
wiley +1 more source
An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout
Journal of Probability and Statistics, 2019 In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared ...
Amal Almohisen +2 more
doaj +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 +3 more
wiley +1 more source
T‐calibration in semi‐parametric models
Canadian Journal of Statistics, EarlyView.Abstract This article relates the calibration of models to the consistent loss functions for the target functional of the model. Correctly specified models are calibrated. Conversely, we demonstrate that if there is a parameter value that is optimal under all consistent loss functions, then a model is calibrated.
Anja Mühlemann, Johanna Ziegel
wiley +1 more source
Risks, 2019 The Hierarchical risk parity (HRP) approach of portfolio allocation, introduced by Lopez de Prado (2016), applies graph theory and machine learning to build a diversified portfolio.
Prayut Jain, Shashi Jain
doaj +1 more source
On the pitfalls of Gaussian likelihood scoring for causal discovery
Journal of Causal Inference, 2023 We consider likelihood score-based methods for causal discovery in structural causal models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification in terms of non-Gaussian error distribution. We present a surprising
Schultheiss Christoph, Bühlmann Peter
doaj +1 more source
To What Extent Does ESG Performance Influence Board Engagement in Acquisition Activity?
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines the relationship between boards and corporate acquisition activity. Specifically, we posit that boards with directors who have been politicians positively influence the propensity to pursue acquisitions and that ESG performance (divided into environmental, social, and governance scores) moderates this relationship.
Leticia Pérez‐Calero +4 more
wiley +1 more source