This expanded edition of the classic work on empirical processes now boasts several new proved theorems not in the first.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
R. M. Dudley is a Professor of Mathematics at the Massachusetts Institute of Technology in Cambridge, Massachusetts.
Inhaltsangabe
1. Donsker's theorem and inequalities 2. Gaussian processes, sample continuity 3. Definition of Donsker classes 4. Vapnik-Cervonenkis combinatorics 5. Measurability 6. Limit theorems for VC-type classes 7. Metric entropy with bracketing 8. Approximation of functions and sets 9. Two samples and the bootstrap 10. Uniform and universal limit theorems 11. Classes too large to be Donsker Appendix A. Differentiating under an integral sign Appendix B. Multinomial distributions Appendix C. Measures on nonseparable metric spaces Appendix D. An extension of Lusin's theorem Appendix E. Bochner and Pettis integrals Appendix F. Non-existence of some linear forms Appendix G. Separation of analytic sets Appendix H. Young-Orlicz spaces Appendix I. Versions of isonormal processes.
1. Donsker's theorem and inequalities 2. Gaussian processes, sample continuity 3. Definition of Donsker classes 4. Vapnik-Cervonenkis combinatorics 5. Measurability 6. Limit theorems for VC-type classes 7. Metric entropy with bracketing 8. Approximation of functions and sets 9. Two samples and the bootstrap 10. Uniform and universal limit theorems 11. Classes too large to be Donsker Appendix A. Differentiating under an integral sign Appendix B. Multinomial distributions Appendix C. Measures on nonseparable metric spaces Appendix D. An extension of Lusin's theorem Appendix E. Bochner and Pettis integrals Appendix F. Non-existence of some linear forms Appendix G. Separation of analytic sets Appendix H. Young-Orlicz spaces Appendix I. Versions of isonormal processes.
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