A test for using the sum score to obtain a stochastic ordering of subjects
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Publication:476226
DOI10.1016/j.jmva.2014.09.003zbMath1302.62102OpenAlexW2037221477MaRDI QIDQ476226
Publication date: 28 November 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2014.09.003
Nonparametric hypothesis testing (62G10) Inequalities; stochastic orderings (60E15) Order statistics; empirical distribution functions (62G30)
Uses Software
Cites Work
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- Isotonic ordinal probabilistic models (ISOP)
- An isotonic partial credit model for ordering subjects on the basis of their sum scores
- Conditional association and unidimensionality in monotone latent variable models
- Polytomous IRT models and monotone likelihood ratio of the total score
- Acceleration model in the heterogeneous case of the general graded response model
- Classes of orderings of measures and related correlation inequalities. I. Multivariate totally positive distributions
- A Rasch model for partial credit scoring
- A characterization of monotone unidimensional latent variable models
- Stochastic ordering using the latent trait and the sum score in polytomous IRT models
- A likelihood ratio test for \(\text{MTP}_ 2\) within binary variables.
- Manifest characterization and testing for certain latent properties
- The control of the false discovery rate in multiple testing under dependency.
- A test of a multivariate normal mean with composite hypotheses determined by linear inequalities
- A Unified Approach to Likelihood Inference on Stochastic Orderings in a Nonparametric Context
- Item Response Theory: Past Performance, Present Developments, and Future Expectations
- Sequential item response models with an ordered response
- Ordered Families of Distributions
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