Abstract
The empirical process methods and techniques developed in Part 2 have many applications in statistics. The present part illustrates this in some detail by applications ranging from M-estimation (limit theory and rates of convergence in infinite-dimensional applications), bootstrapping, permutation tests, tests of independence, the functional delta-method, and contiguity theory.
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© 1996 Springer Science+Business Media New York
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van der Vaart, A.W., Wellner, J.A. (1996). Introduction. In: Weak Convergence and Empirical Processes. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2545-2_27
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DOI: https://doi.org/10.1007/978-1-4757-2545-2_27
Publisher Name: Springer, New York, NY
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