Logo

Convergence of Stochastic Processes

Large book cover: Convergence of Stochastic Processes

Convergence of Stochastic Processes
by

Publisher: Springer
ISBN/ASIN: 1461297583
ISBN-13: 9781461297581
Number of pages: 223

Description:
An exposition od selected parts of empirical process theory, with related interesting facts about weak convergence, and applications to mathematical statistics. The high points of the book describe the combinatorial ideas needed to prove maximal inequalities for empirical processes indexed by classes of sets or classes of functions.

Home page url

Download or read it online for free here:
Download link
(8.6MB, PDF)

Similar books

Book cover: Introduction to Randomness and StatisticsIntroduction to Randomness and Statistics
by - arXiv
This is a practical introduction to randomness and data analysis, in particular in the context of computer simulations. At the beginning, the most basics concepts of probability are given, in particular discrete and continuous random variables.
(14102 views)
Book cover: Probability and StatisticsProbability and Statistics
- UCLA
This book is developed as a free, collaborative and interactive learning environment for elementary probability and statistics education. The book blends information technology, scientific techniques and modern pedagogical concepts.
(17800 views)
Book cover: Seeing Theory: A visual introduction to probability and statisticsSeeing Theory: A visual introduction to probability and statistics
by - Brown University
The intent of the website and these notes is to provide an intuitive supplement to an introductory level probability and statistics course. The level is also aimed at students who are returning to the subject and would like a concise refresher ...
(8423 views)
Book cover: Non-Uniform Random Variate GenerationNon-Uniform Random Variate Generation
by - Springer
The book on small field on the crossroads of statistics, operations research and computer science. The applications of random number generators are wide and varied. The study of non-uniform random variates is precisely the subject area of the book.
(14840 views)