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- W2115071252 abstract "In this paper, we define the generalized linear model (GLM) based on the observed data with incomplete information in the case of random censorship, and obtain a law of iterated logarithm and a Chung type law of iterated logarithm for the maximum likelihood estimator (MLE) βˆn in this model." @default.
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- W2115071252 date "2009-03-01" @default.
- W2115071252 modified "2023-10-14" @default.
- W2115071252 title "Laws of iterated logarithm for MLE of generalized linear model randomly censored with incomplete information" @default.
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- W2115071252 doi "https://doi.org/10.1016/j.spl.2008.11.016" @default.
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