edited by Herman J. Bierens and A. Ronald Gallant
The papers collected in these two volumes focus on the asymptotic theory of parameter estimators of nonlinear single equation models and systems of nonlinear models, in particular weal and strong consistency, asymptotic normality, and parameter inference, for cross-sections and time series. Also included in this collection is a selection of papers on testing for, and estimation and inference under, model misspecification included.
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