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An empirical investigation of some effects of sparseness in contingency tables

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  • Agresti, Alan
  • Yang, Ming-Chung

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  • Agresti, Alan & Yang, Ming-Chung, 1987. "An empirical investigation of some effects of sparseness in contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 5(1), pages 9-21.
    • Handle: RePEc:eee:csdana:v:5:y:1987:i:1:p:9-21
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    Cited by:

    1. Maiste, Paul J. & Weir, B.S.Bruce S., 2004. "Optimal testing strategies for large, sparse multinomial models," Computational Statistics & Data Analysis, Elsevier, vol. 46(3), pages 605-620, June.
    2. Silvia cagnone & Stefania Mignani, 2007. "Assessing the goodness of fit of a latent variable model for ordinal data," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 337-361.
    3. Zhu, Qiansheng & Lang, Joseph B., 2022. "Test-inversion confidence intervals for estimands in contingency tables subject to equality constraints," Computational Statistics & Data Analysis, Elsevier, vol. 169(C).
    4. Cees Glas, 1999. "Modification indices for the 2-PL and the nominal response model," Psychometrika, Springer;The Psychometric Society, vol. 64(3), pages 273-294, September.
    5. Mark Reiser & Silvia Cagnone & Junfei Zhu, 2023. "An Extended GFfit Statistic Defined on Orthogonal Components of Pearson’s Chi-Square," Psychometrika, Springer;The Psychometric Society, vol. 88(1), pages 208-240, March.
    6. Wai-Yin Poon & Man-Lai Tang & Shu-Jia Wang, 2003. "Influence Measures in Contingency Tables With Application in Sampling Zeros," Sociological Methods & Research, , vol. 31(4), pages 439-452, May.
    7. Emilio Carrizosa & Vanesa Guerrero & Dolores Romero Morales, 2023. "On mathematical optimization for clustering categories in contingency tables," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 407-429, June.
    8. Riccardo Borgoni & Peter Smith & Ann Berrington, 2009. "Handling the effect of non-response in graphical models for longitudinal data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 109-123, March.
    9. Ivy Liu & Alan Agresti, 2005. "The analysis of ordered categorical data: An overview and a survey of recent developments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 1-73, June.
    10. Mark Reiser, 1996. "Analysis of residuals for the multionmial item response model," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 509-528, September.
    11. Alberto Maydeu-Olivares & Rosa Montaño, 2013. "How Should We Assess the Fit of Rasch-Type Models? Approximating the Power of Goodness-of-Fit Statistics in Categorical Data Analysis," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 116-133, January.
    12. Tim Futing Liao, 2004. "Estimating household structure in ancient China by using historical data: a latent class analysis of partially missing patterns," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 125-139, February.

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