Numerical approximation of the observed information matrix with Oakes' identity
Work
Year: 2018
Type: article
Abstract: An efficient and accurate numerical approximation methodology useful for obtaining the observed information matrix and subsequent asymptotic covariance matrix when fitting models with the EM algorithm... more
Author R. Philip Chalmers
Institution University of Georgia
Cites: 53
Cited by: 29
Related to: 10
FWCI: 3.657
Citation percentile (by year/subfield): 92.17
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze