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Estimating the Number of Species in a Stochastic Abundance Model

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  • Anne Chao
  • John Bunge

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  • Anne Chao & John Bunge, 2002. "Estimating the Number of Species in a Stochastic Abundance Model," Biometrics, The International Biometric Society, vol. 58(3), pages 531-539, September.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:3:p:531-539
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00531.x
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    Cited by:

    1. Chang Xuan Mao & Nan Yang & Jinhua Zhong, 2013. "On Population Size Estimators in the Poisson Mixture Model," Biometrics, The International Biometric Society, vol. 69(3), pages 758-765, September.
    2. David R Blair & Kanix Wang & Svetlozar Nestorov & James A Evans & Andrey Rzhetsky, 2014. "Quantifying the Impact and Extent of Undocumented Biomedical Synonymy," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-17, September.
    3. Jérôme A. Dupuis & Michel Goulard, 2011. "Estimating Species Richness from Quadrat Sampling Data: A General Approach," Biometrics, The International Biometric Society, vol. 67(4), pages 1489-1497, December.
    4. Dankmar Böhning & Herwig Friedl, 2021. "Population size estimation based upon zero-truncated, one-inflated and sparse count data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1197-1217, October.
    5. Xinyue Zhao & Mengjie Zhang & Zhilin Sun & Huabao Zheng & Qifa Zhou, 2023. "Anaerobic Storage Completely Removes Suspected Fungal Pathogens but Increases Antibiotic Resistance Gene Levels in Swine Wastewater High in Sulfonamides," IJERPH, MDPI, vol. 20(4), pages 1-11, February.
    6. Balabdaoui, Fadoua & Kulagina, Yulia, 2020. "Completely monotone distributions: Mixing, approximation and estimation of number of species," Computational Statistics & Data Analysis, Elsevier, vol. 150(C).
    7. Dankmar Böhning & Rattana Lerdsuwansri & Patarawan Sangnawakij, 2023. "Modeling COVID‐19 contact‐tracing using the ratio regression capture–recapture approach," Biometrics, The International Biometric Society, vol. 79(4), pages 3818-3830, December.
    8. Maria De Angelis & Maria Piccolo & Lucia Vannini & Sonya Siragusa & Andrea De Giacomo & Diana Isabella Serrazzanetti & Fernanda Cristofori & Maria Elisabetta Guerzoni & Marco Gobbetti & Ruggiero Franc, 2013. "Fecal Microbiota and Metabolome of Children with Autism and Pervasive Developmental Disorder Not Otherwise Specified," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    9. Zhang, Hongmei & Ghosh, Kaushik & Ghosh, Pulak, 2012. "Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2562-2573.
    10. repec:jss:jstsof:40:i09 is not listed on IDEAS
    11. Semyon K Kolmykov & Yury V Kondrakhin & Ivan S Yevshin & Ruslan N Sharipov & Anna S Ryabova & Fedor A Kolpakov, 2019. "Population size estimation for quality control of ChIP-Seq datasets," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-17, August.
    12. Chun-Huo Chiu, 2023. "A Richness Estimator Based on Integrated Data," Mathematics, MDPI, vol. 11(17), pages 1-24, September.
    13. Maria De Angelis & Eustacchio Montemurno & Maria Piccolo & Lucia Vannini & Gabriella Lauriero & Valentina Maranzano & Giorgia Gozzi & Diana Serrazanetti & Giuseppe Dalfino & Marco Gobbetti & Loreto Ge, 2014. "Microbiota and Metabolome Associated with Immunoglobulin A Nephropathy (IgAN)," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-15, June.
    14. Dankmar Böhning & Ekkehart Dietz & Ronny Kuhnert & Dieter Schön, 2005. "Mixture models for capture-recapture count data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(1), pages 29-43, February.

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