Power series mixtures and the ratio plot with applications to zero-truncated count distribution modelling
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DOI: 10.1007/s40300-015-0071-6
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- Robert M. Dorazio & J. Andrew Royle, 2003. "Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals," Biometrics, The International Biometric Society, vol. 59(2), pages 351-364, June.
- Baksh, M. Fazil & Böhning, Dankmar & Lerdsuwansri, Rattana, 2011. "An extension of an over-dispersion test for count data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 466-474, January.
- Patricia M. E. Altham, 1978. "Two Generalizations of the Binomial Distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(2), pages 162-167, June.
- Lovison, G., 1998. "An alternative representation of Altham's multiplicative-binomial distribution," Statistics & Probability Letters, Elsevier, vol. 36(4), pages 415-420, January.
- Verena Feirer & Herwig Friedl & Ulrich Hirn, 2013. "Modelling over- and underdispersed frequencies of successful ink transmissions onto paper," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(3), pages 626-643.
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Keywords
Power series distribution; Mixtures; Negative-binomial; Beta-binomial;All these keywords.
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