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There are 9140 results for: content related to: Model selection, zero-inflated models, and predictors of primate abundance in Korup National Park, Cameroon

  1. Estimating saving functions in the presence of excessive-zeros problems

    The Econometrics Journal

    Volume 5, Issue 2, December 2002, Pages: 435–456, Atsushi Yoshida and Alessandra Guariglia

    Version of Record online : 17 JAN 2003, DOI: 10.1111/1368-423X.t01-1-00092

  2. The analysis of zero-inflated count data: Beyond zero-inflated Poisson regression.

    British Journal of Mathematical and Statistical Psychology

    Volume 65, Issue 1, February 2012, Pages: 163–180, Tom Loeys, Beatrijs Moerkerke, Olivia De Smet and Ann Buysse

    Version of Record online : 23 SEP 2011, DOI: 10.1111/j.2044-8317.2011.02031.x

  3. Zero-Inflated Discrete Statistical Models for Fecundity Data Analysis in Channel Catfish, Ictalurus punctatus

    Journal of the World Aquaculture Society

    Volume 38, Issue 2, June 2007, Pages: 175–187, Herbert E. Quintero, Asheber Abebe and D. Allen Davis

    Version of Record online : 25 MAY 2007, DOI: 10.1111/j.1749-7345.2007.00087.x

  4. You have free access to this content
    Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview

    Statistics in Medicine

    Volume 35, Issue 27, 30 November 2016, Pages: 5070–5093, Brian Neelon, A. James O'Malley and Valerie A. Smith

    Version of Record online : 8 AUG 2016, DOI: 10.1002/sim.7050

  5. Modelling count data with excessive zeros: The need for class prediction in zero-inflated models and the issue of data generation in choosing between zero-inflated and generic mixture models for dental caries data

    Statistics in Medicine

    Volume 28, Issue 28, 10 December 2009, Pages: 3539–3553, Mark S. Gilthorpe, Morten Frydenberg, Yaping Cheng and Vibeke Baelum

    Version of Record online : 9 NOV 2009, DOI: 10.1002/sim.3699

  6. Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros

    Statistics in Medicine

    Volume 33, Issue 25, 10 November 2014, Pages: 4402–4419, Wondwosen Kassahun, Thomas Neyens, Geert Molenberghs, Christel Faes and Geert Verbeke

    Version of Record online : 23 JUN 2014, DOI: 10.1002/sim.6237

  7. Modeling abundance using N-mixture models: the importance of considering ecological mechanisms

    Ecological Applications

    Volume 19, Issue 3, April 2009, Pages: 631–642, Liana N. Joseph, Ché Elkin, Tara G. Martin and Hugh P. Possingham

    Version of Record online : 1 APR 2009, DOI: 10.1890/07-2107.1

  8. Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study

    Biometrical Journal

    Volume 58, Issue 2, March 2016, Pages: 259–279, María Oliveira, Jochen Einbeck, Manuel Higueras, Elizabeth Ainsbury, Pedro Puig and Kai Rothkamm

    Version of Record online : 13 OCT 2015, DOI: 10.1002/bimj.201400233

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    Zero-inflated modelling for characterizing coverage errors of extracts from the US Census Bureau's Master Address File

    Journal of the Royal Statistical Society: Series A (Statistics in Society)

    Volume 180, Issue 1, January 2017, Pages: 73–97, Derek S. Young, Andrew M. Raim and Nancy R. Johnson

    Version of Record online : 7 FEB 2016, DOI: 10.1111/rssa.12183

  10. Modelling Time Series of Counts in Epidemiology

    International Statistical Review

    Volume 79, Issue 1, April 2011, Pages: 48–69, Alexandra M. Schmidt and João Batista M. Pereira

    Version of Record online : 1 FEB 2011, DOI: 10.1111/j.1751-5823.2010.00123.x

  11. On performance of parametric and distribution-free models for zero-inflated and over-dispersed count responses

    Statistics in Medicine

    Volume 34, Issue 24, 30 October 2015, Pages: 3235–3245, Wan Tang, Naiji Lu, Tian Chen, Wenjuan Wang, Douglas David Gunzler, Yu Han and Xin M. Tu

    Version of Record online : 15 JUN 2015, DOI: 10.1002/sim.6560

  12. Number of Accidents or Number of Claims? An Approach with Zero-Inflated Poisson Models for Panel Data

    Journal of Risk and Insurance

    Volume 76, Issue 4, December 2009, Pages: 821–846, Jean-Philippe Boucher, Michel Denuit and Montserrat Guillen

    Version of Record online : 26 AUG 2009, DOI: 10.1111/j.1539-6975.2009.01321.x

  13. A Score Test for Testing a Zero-Inflated Poisson Regression Model Against Zero-Inflated Negative Binomial Alternatives


    Volume 57, Issue 1, March 2001, Pages: 219–223, Martin Ridout, John Hinde and Clarice G. B. DeméAtrio

    Version of Record online : 24 MAY 2004, DOI: 10.1111/j.0006-341X.2001.00219.x

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    Zero tolerance ecology: improving ecological inference by modelling the source of zero observations

    Ecology Letters

    Volume 8, Issue 11, November 2005, Pages: 1235–1246, Tara G. Martin, Brendan A. Wintle, Jonathan R. Rhodes, Petra M. Kuhnert, Scott A. Field, Samantha J. Low-Choy, Andrew J. Tyre and Hugh P. Possingham

    Version of Record online : 6 OCT 2005, DOI: 10.1111/j.1461-0248.2005.00826.x

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    Incorporating the intraspecific occupancy–abundance relationship into zero-inflated models


    Volume 93, Issue 12, December 2012, Pages: 2526–2532, Adam N. H. Smith, Marti J. Anderson and Russell B. Millar

    Version of Record online : 1 DEC 2012, DOI: 10.1890/12-0460.1

  16. Gravitation or discrimination? Determinants of litigation in the World Trade Organisation

    European Journal of Political Research

    Volume 50, Issue 2, March 2011, Pages: 143–167, THOMAS SATTLER and THOMAS BERNAUER

    Version of Record online : 27 APR 2010, DOI: 10.1111/j.1475-6765.2010.01924.x

  17. Zero-Inflated Data

    Standard Article

    Wiley StatsRef: Statistics Reference Online

    Wanzhu Tu and Hai Liu

    Published Online : 17 MAY 2016, DOI: 10.1002/9781118445112.stat07451.pub2

  18. A score-type test for heterogeneity in zero-inflated models in a stratified population

    Statistics in Medicine

    Volume 33, Issue 12, 30 May 2014, Pages: 2103–2114, Guanqun Cao, Wei-Wen Hsu and David Todem

    Version of Record online : 2 FEB 2014, DOI: 10.1002/sim.6092

  19. Assessing the impacts of grazing levels on bird density in woodland habitat: a Bayesian approach using expert opinion


    Volume 16, Issue 7, November 2005, Pages: 717–747, Petra M. Kuhnert, Tara G. Martin, Kerrie Mengersen and Hugh P. Possingham

    Version of Record online : 20 MAY 2005, DOI: 10.1002/env.732

  20. Modeling health survey data with excessive zero and K responses

    Statistics in Medicine

    Volume 32, Issue 9, 30 April 2013, Pages: 1572–1583, Ting Hsiang Lin and Min-Hsiao Tsai

    Version of Record online : 10 OCT 2012, DOI: 10.1002/sim.5650