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Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology

In this paper, we develop a nonparametric method, called adjusted exponentially tilted likelihood, and apply it to the analysis of morphometric measures. The adjusted exponential tilting estimator is shown to have the same first order asymptotic properties as that of the original exponentially tilte...

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Detaylı Bibliyografya
Asıl Yazarlar: Zhu, Hongtu, Zhou, Haibo, Chen, Jiahua, Li, Yimei, Lieberman, Jeffrey, Styner, Martin
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2008
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3572721/
https://ncbi.nlm.nih.gov/pubmed/18945269
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2008.01124.x
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