Abstract
In the previous chapter, we discussed the classical ML approach, its asymptotic properties, and the effect of model misspecification. In this chapter, we consider a generalization of the ML method that explicitly allows for partial model misspecification.
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© 2011 Springer Science+Business Media, LLC
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Ziegler, A. (2011). Pseudo maximum likelihood method based on the linear exponential family. In: Generalized Estimating Equations. Lecture Notes in Statistics(), vol 204. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0499-6_5
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DOI: https://doi.org/10.1007/978-1-4614-0499-6_5
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-0498-9
Online ISBN: 978-1-4614-0499-6
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