Abstract
In this lecture we continue the discussion of empirical processes, now concentrating on the central limit theorem and uniformity in convergence in distribution, and its applications to deriving the asymptotic distribution of Z-estimators.
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© 2002 Springer-Verlag Berlin Heidelberg
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(2002). Lecture: Empirical Processes and Normality of Z-Estimators. In: Bernard, P. (eds) Lectures on Probability Theory and Statistics. Lecture Notes in Mathematics, vol 1781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47944-9_15
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DOI: https://doi.org/10.1007/3-540-47944-9_15
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