Geert H. van Kollenburg
Title
Cited by
Cited by
Year
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
472013
Assessing model fit in latent class analysis when asymptotics do not hold
GH van Kollenburg, J Mulder, JK Vermunt
Methodology, 2015
212015
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
162018
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
92020
Posterior calibration of posterior predictive p values.
GH van Kollenburg, J Mulder, JK Vermunt
Psychological Methods 22 (2), 382, 2017
82017
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
72018
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
32020
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
32018
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
12020
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
12020
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
12020
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
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
2018
Analysis of an indirect (mediated) moderation model
GH van Kollenburg, MA Croon
https://www.researchgate.net/publication …, 2017
2017
Stability and change in teachers' goal orientation profiles over time
EM Kunst, M van Woerkom, GH van Kollenburg, RF Poell
2017
Computer intensive methods for evaluating latent class model fit
GH van Kollenburg
Tilburg University, 2017
2017
Innovative developments and applications in Latent Class Analysis
M van den Bergh, G van Kollenburg, E Nagelkerke, M Sijssens-Bennink
2015
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Articles 1–17