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My bibliography Save this articleMinimum phi-divergence estimators for loglinear models with linear constraints and multinomial sampling
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DOI: 10.1007/s00362-006-0370-3
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References listed on IDEAS
- Bonett, Douglas G., 1989. "Pearson chi-square estimator and test for log-linear models with expected frequencies subject to linear constraints," Statistics & Probability Letters, Elsevier, vol. 8(2), pages 175-177, June.
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Cited by:
- Martín, Nirian & Pardo, Leandro, 2008. "New families of estimators and test statistics in log-linear models," Journal of Multivariate Analysis, Elsevier, vol. 99(8), pages 1590-1609, September.
- Abhik Ghosh & Ayanendranath Basu, 2017. "The minimum S-divergence estimator under continuous models: the Basu–Lindsay approach," Statistical Papers, Springer, vol. 58(2), pages 341-372, June.
- Ogasawara, Haruhiko, 2018. "A family of the information criteria using the phi-divergence for categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 87-103.
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Keywords
Primary 62H15; Secondary 62H17; Loglinear models; Multinomial sampling; Maximum likelihood estimator; Minimum Phi-divergence estimator;All these keywords.
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Statistics
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