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Spatial Latent Class Analysis Model for Spatially Distributed Multivariate Binary Data

A spatial latent class analysis model that extends the classic latent class analysis model by adding spatial structure to the latent class distribution through the use of the multinomial probit model is introduced. Linear combinations of independent Gaussian spatial processes are used to develop mul...

詳細記述

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書誌詳細
主要な著者: Wall, Melanie M., Liu, Xuan
フォーマット: Artigo
言語:Inglês
出版事項: 2009
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2705170/
https://ncbi.nlm.nih.gov/pubmed/20161235
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2008.07.037
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