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Pseudo R-squared measures for Poisson regression models with over- or underdispersion

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  • Heinzl, Harald
  • Mittlbock, Martina

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  • Heinzl, Harald & Mittlbock, Martina, 2003. "Pseudo R-squared measures for Poisson regression models with over- or underdispersion," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 253-271, October.
    • Handle: RePEc:eee:csdana:v:44:y:2003:i:1-2:p:253-271
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    References listed on IDEAS

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    1. Aidan R. Vining & David L. Weimer, 2002. "Introducing policy analysis craft: The sheltered workshop," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 697-707.
    2. Cameron, A Colin & Windmeijer, Frank A G, 1996. "R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 209-220, April.
    3. Mittlbock, M. & Waldhor, T., 2000. "Adjustments for R2-measures for Poisson regression models," Computational Statistics & Data Analysis, Elsevier, vol. 34(4), pages 461-472, October.
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    2. M. Alonso & M. Beamonte & P. Gargallo & M. Salvador, 2014. "Labour and residential accessibility: a Bayesian analysis based on Poisson gravity models with spatial effects," Journal of Geographical Systems, Springer, vol. 16(4), pages 409-439, October.
    3. Wang, Qiang & Li, Shuyu & Pisarenko, Zhanna, 2020. "Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries," Energy, Elsevier, vol. 209(C).
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    6. Ricci, Lila & Martinez, Raul, 2008. "Adjusted R2-type measures for Tweedie models," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1650-1660, January.
    7. Dian Palupi Restuputri & Ayun Fridawati & Ilyas Masudin, 2022. "Customer Perception on Last-Mile Delivery Services Using Kansei Engineering and Conjoint Analysis: A Case Study of Indonesian Logistics Providers," Logistics, MDPI, vol. 6(2), pages 1-16, April.
    8. Derek S. Young & Andrew M. Raim & Nancy R. Johnson, 2017. "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, Royal Statistical Society, vol. 180(1), pages 73-97, January.

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