Geert H. van Kollenburg
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A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
DL Oberski, GH van Kollenburg, JK Vermunt
Advances in Data Analysis and Classification 7 (3), 267-279, 2013
Assessing model fit in latent class analysis when asymptotics do not hold
GH van Kollenburg, J Mulder, JK Vermunt
Methodology, 2015
Stability and change in teachers' goal orientation profiles over time: Managerial coaching behavior as a predictor of profile change
EM Kunst, M van Woerkom, GH van Kollenburg, RF Poell
Journal of Vocational Behavior 104, 115-127, 2018
Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity.
H Parastar, G van Kollenburg, Y Weesepoel, A van den Doel, L Buydens, ...
Food Control, 2020
Deciding on the starting number of classes of a latent class tree
M Van Den Bergh, GH Van Kollenburg, JK Vermunt
Sociological methodology 48 (1), 303-336, 2018
Posterior calibration of posterior predictive p values.
GH van Kollenburg, J Mulder, JK Vermunt
Psychological Methods 22 (2), 382, 2017
Ultraviolet-visible diffuse reflectance spectroscopy combined with chemometrics for rapid discrimination of Angelicae Sinensis Radix from its four similar herbs
X Bian, Z Lu, G van Kollenburg
Analytical Methods 12 (27), 3499-3507, 2020
Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study
FM Jansen, GH van Kollenburg, CBM Kamphuis, FH Pierik, DF Ettema
Journal of Public Health 40 (4), 787-796, 2018
Understanding Chemical Production Processes by using PLS Path Model Parameters as Soft Sensors.
GH van Kollenburg, J van Es, J Gerreten, H Lanters, R Bouman, ...
Computers & Chemical Engineering, 106841, 2020
Investigating the need for preprocessing of near-infrared spectroscopic data as a function of sample size
M Schoot, C Kapper, GH van Kollenburg, GJ Postma, G van Kessel, ...
Chemometrics and Intelligent Laboratory Systems 204, 104105, 2020
Calculating required purification levels to turn source water into drinking water using an adapted CCME water quality
A van den Doel, GH van Kollenburg, TDN van Remmen, JA de Jonge, ...
Preprint (not peer reviewed), 2020
The lazy bootstrap. A fast resampling method for evaluating latent class model fit
GH van Kollenburg, J Mulder, JK Vermunt
arXiv preprint arXiv:1801.09519, 2018
NIR data of organic solvents, Mendeley Data, 2020
GH van Kollenburg, N Admiraal, HJ van Manen, J Gerretzen
Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination
GH van Kollenburg, HJ van Manen, N Admiraal, J Gerretzen, JJ Jansen
Talanta 223, 121865, 2021
Data of: Integration of handheld NIR and machine learning for the development of a “Measure & Monitor” technology for chicken meat authenticity
Y Weesepoel, G van Kollenburg, H Parastar
Mendeley, 2020
Dataset of the application of handheld NIR and machine learning for chicken fillet authenticity study
G van Kollenburg, Y Weesepoel, H Parastar, A van den Doel, L Buydens, ...
Data in brief 29, 2020
Automatically optimizing dynamic synchronization of individual industrial process variables for statistical modelling
T Offermans, E Szymańska, GH van Kolllenburg, LMC Buydens, ...
Computers & Chemical Engineering, 107402, 2021
Indirect (mediated) Moderation: The missing link in integrating mediation and moderation in regression analysis
GH van Kollenburg, MA Croon
arXiv preprint arXiv:1701.08862, 2017
Computer intensive methods for evaluating latent class model fit
GH van Kollenburg
Tilburg University, 2017
Innovative developments and applications in Latent Class Analysis
M van den Bergh, G van Kollenburg, E Nagelkerke, M Sijssens-Bennink
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