Empirical processes with applications to statistics

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Author(s): Shorack, Galen R.; Wellner, Jon A
Series: Classics in applied mathematics 59
Publisher: Society for Industrial and Applied Mathematics
Year: 2009

Language: English
Pages: 956
City: Philadelphia, Pa
Tags: Mathematical statistics.;Distribution (Probability theory);Random variables.

Content: Introduction and survey of results --
Foundations, special spaces and special processes --
Convergence and distributions of empirical processes --
Alternatives and processes of residuals --
Integral test of fit and estimated empirical process --
Martingale methods --
Censored data the product-limit estimator --
Poisson and exponential representations --
Some exact distributions --
Linear and nearly linear bounds on the empirical distribution function Gn --
Exponential inequalities and [parallel] ยท/q [parallel]-metric convergence of Un and Vn --
The Hungarian Constructions of Kn, Un, and Vn --
Laws of the iterated logarithm associated with Un and Vn --
Oscillations of the empirical process --
The uniform empirical difference process Dn [identically equal] Un + Vn --
The normalized uniform empirical process Zn and the normalized uniform quantile process --
The uniform empirical process indexed by intervals and functions --
The standardized quantile process Qn --
L-statistics --
Rank statistics --
Spacing --
Symmetry --
Further applications --
Large deviations --
Independent but not identically distributed random variable --
Empirical measures and processes for general spaces --
Appendix A: Inequalities and miscellaneous --
Appendix B: Counting processes martingales.