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Original Articles

Simulating Ordinal Data

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Pages 566-589 | Published online: 15 Aug 2012

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H. Demirtas & R. Gao. (2022) Mixed data generation packages and related computational tools in R. Communications in Statistics - Simulation and Computation 51:8, pages 4520-4563.
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Federica Cugnata & Silvia Salini. (2017) Comparison of alternative imputation methods for ordinal data. Communications in Statistics - Simulation and Computation 46:1, pages 315-330.
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Rosa Arboretti Giancristofaro, Stefano Bonnini, Livio Corain & Luigi Salmaso. (2016) Dependency and truncated forms of combinations in multivariate combination-based permutation tests and ordered categorical variables. Journal of Statistical Computation and Simulation 86:18, pages 3608-3619.
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Anup Amatya & Hakan Demirtas. (2016) Concurrent generation of multivariate mixed data with variables of dissimilar types. Journal of Statistical Computation and Simulation 86:18, pages 3595-3607.
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Hakan Demirtas & Yasemin Yavuz. (2015) Concurrent Generation of Ordinal and Normal Data. Journal of Biopharmaceutical Statistics 25:4, pages 635-650.
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Pier Alda Ferrari & Emanuela Raffinetti. (2015) A Different Approach to Dependence Analysis. Multivariate Behavioral Research 50:2, pages 248-264.
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Jennifer Koran, Todd C. Headrick & Tzu Chun Kuo. (2015) Simulating Univariate and Multivariate Nonnormal Distributions through the Method of Percentiles. Multivariate Behavioral Research 50:2, pages 216-232.
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Daniel McNeish & Melissa G. Wolf. Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models. Structural Equation Modeling: A Multidisciplinary Journal 0:0, pages 1-28.
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Katelyn A. McKenzie & Jonathan D. Mahnken. (2023) Simulating and estimating agreement in the presence of multiple raters and covariates. Statistics in Medicine 42:11, pages 1687-1698.
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Alexander Robitzsch. (2022) On the Bias in Confirmatory Factor Analysis When Treating Discrete Variables as Ordinal Instead of Continuous. Axioms 11:4, pages 162.
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Neda Gilani. (2019) Joint modeling of repeated ordinal measures and time to event data for CHD risk assessment. Biometrics & Biostatistics International Journal 8:6, pages 204-212.
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Alessandro Barbiero. 2019. Advances in System Reliability Engineering. Advances in System Reliability Engineering 167 191 .
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Elizabeth A. Handorf, Carolyn J. Heckman, Susan Darlow, Michael Slifker & Lee Ritterband. (2018) A hierarchical clustering approach to identify repeated enrollments in web survey data. PLOS ONE 13:9, pages e0204394.
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Simon Michael Papalexiou. (2018) Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency. Advances in Water Resources 115, pages 234-252.
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Hakan Demirtas. 2017. Monte-Carlo Simulation-Based Statistical Modeling. Monte-Carlo Simulation-Based Statistical Modeling 143 162 .
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Maria Iannario & Joseph B. Lang. (2016) Testing conditional independence in sets of I × J tables by means of moment and correlation score tests with application to HPV vaccine . Statistics in Medicine 35:25, pages 4573-4587.
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Marko Robnik-Sikonja. (2016) Data Generators for Learning Systems Based on RBF Networks. IEEE Transactions on Neural Networks and Learning Systems 27:5, pages 926-938.
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Alessandro BarbieroPier Alda Ferrari. (2014) Simulation of correlated Poisson variables. Applied Stochastic Models in Business and Industry 31:5, pages 669-680.
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Alessandro Barbiero. Simulation of correlated discrete Weibull variables: A proposal and an implementation in the R environment. Simulation of correlated discrete Weibull variables: A proposal and an implementation in the R environment.
Diman Todorov & Rossi Setchi. (2014) Time-efficient estimation of conditional mutual information for variable selection in classification. Computational Statistics & Data Analysis 72, pages 105-127.
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Emanuela Raffinetti & Pier Alda Ferrari. 2014. Analysis and Modeling of Complex Data in Behavioral and Social Sciences. Analysis and Modeling of Complex Data in Behavioral and Social Sciences 231 242 .
Alessandro Barbiero & Pier Alda Ferrari. 2014. Topics in Statistical Simulation. Topics in Statistical Simulation 37 46 .
Eleonora Carrozzo, Alessandro Barbiero, Luigi Salmaso & Pier Alda Ferrari. 2014. Topics in Statistical Simulation. Topics in Statistical Simulation 129 138 .
Nick R. Parsons. (2013) Proportional‐odds models for repeated composite and long ordinal outcome scales. Statistics in Medicine 32:18, pages 3181-3191.
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