The logit and probit models have become critical parts of the management researcher's analytical arsenal, growing rapidly from almost no use in the 1980s to appearing in 15% of all articles published ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique We consider optimal designs for a class of symmetric models for binary data which includes the common probit and logit models.

You will need to download the file flmdw.csv and load it into your workspace. This is the data needed to replicate the analysis in Fearon & Laitin’s 2003 APSR paper ...

We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency crises in emerging markets (EMs). We look at episodes of currency crises that ...

IMPRI Generation Alpha Data Centre (GenAlphaDC) along with IMPRI Impact and Policy Research Institute, New Delhi conducted a Two-Week Immersive Online Hands-On Certificate Training Course on ...

1 Department of Statistics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2 Department of Statistics, Federal University of Technology Akure, Nigeria. 3 Department of Statistics, ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

I'm working with a large dataset of around 5,000,000 observations, and I need to fit a generalized ordered probit or logit model using R. Here’s the code that I'm currently running: library (dplyr) ...