يعرض 1 - 10 نتائج من 99 نتيجة بحث عن '"MARKOV chain Monte Carlo"', وقت الاستعلام: 1.64s تنقيح النتائج
  1. 1
    دورية أكاديمية
    A Bayesian Random Weights Linear Logistic Test Model for Within-Test Practice Effects.

    المؤلفون: Lozano, José H., Revuelta, Javier

    المصدر: Applied Psychological Measurement; Oct/Nov2023, Vol. 47 Issue 7/8, p443-459, 17p

    مصطلحات موضوعية: MARKOV chain Monte Carlo, ABILITY testing, INDIVIDUAL differences, COMPUTER adaptive testing

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  2. 2
    دورية أكاديمية
    Modeling Rapid Guessing Behaviors in Computer-Based Testlet Items.

    المؤلفون: Jin, Kuan-Yu, Hsu, Chia-Ling, Chiu, Ming Ming, Chen, Po-Hsi

    المصدر: Applied Psychological Measurement; Jan2023, Vol. 47 Issue 1, p19-33, 15p

    مصطلحات موضوعية: MONTE Carlo method, MARKOV chain Monte Carlo, ITEM response theory, MEASUREMENT errors, LANGUAGE ability testing

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  3. 3
    دورية أكاديمية
    Bayesian Item Response Theory Models With Flexible Generalized Logit Links.

    المؤلفون: Zhang, Jiwei, Zhang, Ying-Ying, Tao, Jian, Chen, Ming-Hui

    المصدر: Applied Psychological Measurement; Jul2022, Vol. 46 Issue 5, p382-405, 24p

    مصطلحات موضوعية: ITEM response theory, MODEL theory, MARKOV chain Monte Carlo, PSYCHOLOGICAL research

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  4. 4
    دورية أكاديمية
    The Explanatory Generalized Graded Unfolding Model: Incorporating Collateral Information to Improve the Latent Trait Estimation Accuracy.

    المؤلفون: Joo, Seang-Hwane, Lee, Philseok, Stark, Stephen

    المصدر: Applied Psychological Measurement; Jan2022, Vol. 46 Issue 1, p3-18, 16p

    مصطلحات موضوعية: ITEM response theory, MARKOV chain Monte Carlo

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  5. 5
    دورية أكاديمية
    Graph Theory Approach to Detect Examinees Involved in Test Collusion.

    المؤلفون: Belov, Dmitry I., Wollack, James A.

    المصدر: Applied Psychological Measurement; Jun2021, Vol. 45 Issue 4, p253-267, 15p

    مصطلحات موضوعية: MONTE Carlo method, GRAPH theory, COLLUSION, MATERIALS testing, MARKOV chain Monte Carlo

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  6. 6
    دورية أكاديمية
    Bayesian Modal Estimation for the One-Parameter Logistic Ability-Based Guessing (1PL-AG) Model.

    المؤلفون: Guo, Shaoyang, Wu, Tong, Zheng, Chanjin, Chen, Yanlei

    المصدر: Applied Psychological Measurement; May2021, Vol. 45 Issue 3, p195-213, 19p

    مصطلحات موضوعية: ITEM response theory, MARKOV chain Monte Carlo, MAXIMUM likelihood statistics, SAMPLE size (Statistics)

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  7. 7
    دورية أكاديمية
    GGUM-RANK Statement and Person Parameter Estimation With Multidimensional Forced Choice Triplets.

    المؤلفون: Filsecker, Michael, Lee, Philseok, Joo, Seang-Hwane, Stark, Stephen, Chernyshenko, Oleksandr S.

    المصدر: Applied Psychological Measurement; May2019, Vol. 43 Issue 3, p226-240, 15p

    مصطلحات موضوعية: PARAMETER estimation, MARKOV chain Monte Carlo, ITEM response theory

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  8. 8
    دورية أكاديمية
    A General Unfolding IRT Model for Multiple Response Styles.

    المؤلفون: Filsecker, Michael, Liu, Chen-Wei, Wang, Wen-Chung

    المصدر: Applied Psychological Measurement; May2019, Vol. 43 Issue 3, p195-210, 16p

    مصطلحات موضوعية: MARKOV chain Monte Carlo, ITEM response theory

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  9. 9
    The Explanatory Generalized Graded Unfolding Model: Incorporating Collateral Information to Improve the Latent Trait Estimation Accuracy

    المؤلفون: Stephen Stark, Philseok Lee, Seang-Hwane Joo

    المصدر: Appl Psychol Meas

    مصطلحات موضوعية: Estimation, Ideal point, symbols.namesake, Computer science, Collateral, Latent trait, symbols, Econometrics, Markov chain Monte Carlo, Cognition, Articles, Psychology (miscellaneous), Social Sciences (miscellaneous)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8336b0c03f3da66813e0e084ae14f8a7
    https://doi.org/10.1177/01466216211051717

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  10. 10
    Bayesian Modal Estimation for the One-Parameter Logistic Ability-Based Guessing (1PL-AG) Model

    المؤلفون: Tong Wu, Yanlei Chen, Shaoyang Guo, Chanjin Zheng

    المصدر: Appl Psychol Meas

    مصطلحات موضوعية: Computer science, Calibration (statistics), Bayesian probability, Markov chain Monte Carlo, Articles, Mixture model, Logistic regression, symbols.namesake, Standard error, Sample size determination, Item response theory, symbols, Psychology (miscellaneous), Algorithm, Social Sciences (miscellaneous)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::690c2c18e4ef7930b01fc3c7559a8aef
    https://doi.org/10.1177/0146621621990761

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