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Logistic Approximation to the Normal: The KL Rationale

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  • Victoria Savalei

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  • Victoria Savalei, 2006. "Logistic Approximation to the Normal: The KL Rationale," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 763-767, December.
    • Handle: RePEc:spr:psycho:v:71:y:2006:i:4:p:763-767
    DOI: 10.1007/s11336-004-1237-y
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    References listed on IDEAS

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    1. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
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    Cited by:

    1. Steven W. Nydick, 2014. "The Sequential Probability Ratio Test and Binary Item Response Models," Journal of Educational and Behavioral Statistics, , vol. 39(3), pages 203-230, June.
    2. Burridge, James & Gnacik, Michał, 2022. "Public efforts to reduce disease transmission implied from a spatial game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    3. Yanlai Song & Stanford Shateyi & Jianying He & Xueqing Cui, 2022. "Interactions of Logistic Distribution to Credit Valuation Adjustment: A Study on the Associated Expected Exposure and the Conditional Value at Risk," Mathematics, MDPI, vol. 10(20), pages 1-15, October.
    4. Jochen Ranger & Jorg-Tobias Kuhn, 2012. "A flexible latent trait model for response times in tests," Psychometrika, Springer;The Psychometric Society, vol. 77(1), pages 31-47, January.
    5. Li Cai, 2010. "High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 33-57, March.
    6. Paul Boeck, 2008. "Random Item IRT Models," Psychometrika, Springer;The Psychometric Society, vol. 73(4), pages 533-559, December.

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