Representations of efficient score for coarse data problems based on Neumann series expansion

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Representations of efficient score for coarse data problems based on Neumann series expansion.

We derive new representations of the efficient score for coarse data problems based on Neumann series expansion. The representations can be applied to both ignorable and nonignorable coarse data. An approximation to the new representation may be used for computing locally efficient scores in such problems. We show that many of the successive approximation approaches to the computation of the lo...

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ژورنال

عنوان ژورنال: Annals of the Institute of Statistical Mathematics

سال: 2009

ISSN: 0020-3157,1572-9052

DOI: 10.1007/s10463-009-0231-7