The statistical analysis of general processing tree models with the EM algorithm
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DOI: 10.1007/BF02294263
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References listed on IDEAS
- Ruud, Paul A., 1991.
"Extensions of estimation methods using the EM algorithm,"
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- Donald Rubin, 1991. "EM and beyond," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 241-254, June.
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Cited by:
- Abaei, Mohammad Mahdi & Hekkenberg, Robert & BahooToroody, Ahmad, 2021. "A multinomial process tree for reliability assessment of machinery in autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
- Liu, Yin & Tian, Guo-Liang, 2013. "A variant of the parallel model for sample surveys with sensitive characteristics," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 115-135.
- Dora Matzke & Conor Dolan & William Batchelder & Eric-Jan Wagenmakers, 2015. "Bayesian Estimation of Multinomial Processing Tree Models with Heterogeneity in Participants and Items," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 205-235, March.
- Javier Revuelta, 2008. "The generalized Logit-Linear Item Response Model for Binary-Designed Items," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 385-405, September.
- Adrian Hoffmann & Julia Meisters & Jochen Musch, 2021. "Nothing but the truth? Effects of faking on the validity of the crosswise model," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-20, October.
- Quentin F. Gronau & Eric-Jan Wagenmakers & Daniel W. Heck & Dora Matzke, 2019. "A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models Using Warp-III Bridge Sampling," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 261-284, March.
- Marc Jekel & Andreas Glockner & Arndt Broder & Viktoriya Maydych, 2014. "Approximating rationality under incomplete information: Adaptive inferences for missing cue values based on cue-discrimination," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(2), pages 129-147, March.
- Florian Wickelmaier & Achim Zeileis, 2016. "Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models," Working Papers 2016-26, Faculty of Economics and Statistics, Universität Innsbruck.
- Morten Moshagen & Benjamin E. Hilbig, 2011. "Methodological notes on model comparisons and strategy classification: A falsificationist proposition," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(8), pages 814-820, December.
- Jonas Moss, 2023. "Measuring Agreement Using Guessing Models and Knowledge Coefficients," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 1002-1025, September.
- Julia Meisters & Adrian Hoffmann & Jochen Musch, 2020. "Can detailed instructions and comprehension checks increase the validity of crosswise model estimates?," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-19, June.
- Daniel W. Heck & Edgar Erdfelder & Pascal J. Kieslich, 2018. "Generalized Processing Tree Models: Jointly Modeling Discrete and Continuous Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 893-918, December.
- Steffen Nestler & Edgar Erdfelder, 2023. "Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 809-829, September.
- repec:cup:judgdm:v:6:y:2011:i:8:p:814-820 is not listed on IDEAS
- repec:cup:judgdm:v:9:y:2014:i:2:p:129-147 is not listed on IDEAS
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Keywords
EM algorithm; multinomial models; processing trees; power divergence family;
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