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Regression modelRegression / GLM

Robust nul-inflateret model

Den robuste nul-inflaterede model udvider standard nul-inflateret tællingsregression — som håndterer overskydende nuller via en blanding af en punktmasse ved nul og en tællingsfordeling — ved at erstatte eller supplere klassisk maximum likelihood med robuste estimeringsteknikker (M-estimatorer, sandwich standardfejl), der beskytter mod den forvrængende indflydelse af afvigende observationer.

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Kilder

  1. Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression models for count data in R. Journal of Statistical Software, 27(8), 1–25. DOI: 10.18637/jss.v027.i08
  2. Cantoni, E., & Ronchetti, E. (2001). Robust inference for generalized linear models. Journal of the American Statistical Association, 96(455), 1022–1030. DOI: 10.1198/016214501753209004

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Zero-Inflated Count Regression Model. ScholarGate. https://scholargate.app/da/statistics/robust-zero-inflated-model

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ScholarGateRobust Zero-Inflated Model (Robust Zero-Inflated Count Regression Model). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/robust-zero-inflated-model · Datasæt: https://doi.org/10.5281/zenodo.20539026