Results 71 to 80 of about 27,971 (259)
Partial identification with categorical data and nonignorable missing outcomes
Canadian Journal of Statistics, EarlyView.Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Sparse probit factor analysis for learning analytics
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 2013 IEEE International Conference on Acoustics, Speech and Signal ...
Waters, Andrew E. +2 more
openaire +2 more sources
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study explores the relationship between Executive gender diversity (EGD) and the achievement of Sustainable Development Goal 9 (SDG 9—Industry, Innovation, and Infrastructure) in the European Union. It investigates whether female representation in corporate governance contributes to innovation‐driven sustainability.
Suzan Dsouza +2 more
wiley +1 more source
Analysis of Work-Zone Crashes Using the Ordered Probit Model with Factor Analysis in Egypt
Journal of Advanced Transportation, 2018 Work-zones, due to their nature, are predisposed to hazardous situations. This is a consequence of conducting construction work within the vicinity of, or near, vehicular traffic.
Kairan Zhang +3 more
doaj +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Based on stakeholder agency theory, this structured literature review included 89 empirical quantitative studies published between 2013 and the present on the complex relationship between financial auditors and corporate social responsibility (CSR) outcomes. We created a research framework based on DeFond and Zhang's (2014) taxonomy and the bi‐
Patrick Velte
wiley +1 more source
Solid Biofuel Usage and Households' Behavior Toward Energy Choice in Northwest Ethiopia
Energy Science &Engineering, EarlyView.This study analyzed household energy choice behavior in northwest Ethiopia using an integrated energy stacking and decision‐making framework. Evidence shows dominant reliance on solid biomass and a fuel‐stacking pattern, while urban residences, higher income, and education increase clean energy adoption, highlighting the need for pro‐poor, context ...
Habtamu Setargachew Molla +3 more
wiley +1 more source
Probit regression in prediction analysis
Global Journal of Pure and Applied Sciences, 2009 To avoid diagnostic surgery, the probability of nodal involvement of prostate cancer is modeled using the probit link function to determine whether the lymph nodes of a patients are infected. X-ray status and level of acidphosphatase in the blood serum of patients are considered as preoperative explanatory variables with the number of patients having ...
openaire +5 more sources
Journal of Forecasting, EarlyView.ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Bayesian Analysis of Spatial Probit Models in Wheat Waste Management Adoption [PDF]
International Journal of Agricultural Management and Development, 2019 The purpose of this study was to identify factors influencing the adoption of wheat waste management by wheat farmers. The method used in this study using the spatial Probit models and Bayesian model was used to estimate the model.
Ahmadreza Ommani +1 more
doaj