Likelihood inference for correlated binary data without any information about the joint distributions
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DOI: 10.1080/03610926.2015.1033553
Abstract: ABSTRACT We propose a universal robust likelihood that is able to accommodate correlated binary data without any information about the underlying joint distributions. This likelihood function is asymptotically valid for the regression parameter for any… read more here.
Keywords: data without; correlated binary; joint distributions; without information ... See more keywords