5 citations · 8 across the 2 of their papers we have counts for
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stat.ME2018
A two-stage estimation procedure for non-linear structural equation models
Klaus Kähler Holst, Esben Budtz-Jørgensen
Applications of structural equation models (SEMs) are often restricted to linear associations between variables. Maximum likelihood (ML) estimation in non-linear models may be comp…
stat.ME2015★ 3 cited
A latent variable model with mixed binary and continuous response variables
Klaus K. Holst, Esben Budtz-Jørgensen, Gitte Moos Knudsen
We propose a method for obtaining maximum likelihood estimates in a model with continuous and binary outcomes. Combinations of left and right censored observations are also natural…
stat.ME2015★ 5 cited
Model Diagnostics Based on Cumulative Residuals: The R-package gof
Klaus K. Holst
The generalized linear model is widely used in all areas of applied statistics and while correct asymptotic inference can be achieved under misspecification of the distributional a…