方法证据记录
Robust Zero-Inflated Model
The robust zero-inflated model extends standard zero-inflated count regression — which handles excess zeros via a mixture of a point mass at zero and a count distribution — by replacing or supplementing classical maximum likelihood with robust estimation techniques (M-estimators, sandwich standard errors) that protect against the distorting influence of outlying observations.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Zero-Inflated Count Regression Model
分类方法记录 · regression-model / statistics
- 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
- 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
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