Weak Convergence and Empirical Processes: With Applications to Statistics
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Book Overview
This book tries to do three things. The first goal is to give an exposition of certain modes of stochastic convergence, in particular convergence in distribution. The classical theory of this subject was developed mostly in the 1950s and is well summarized in Billingsley (1968). During the last 15 years, the need for a more general theory allowing random elements that are not Borel measurable has become well established, particularly in developing...
Format:Paperback
Language:English
ISBN:1475725477
ISBN13:9781475725476
Release Date:December 2012
Publisher:Springer
Length:510 Pages
Weight:1.62 lbs.
Dimensions:1.1" x 6.1" x 9.2"
Related Subjects
Math Mathematics Science Science & Math Science & Scientists Science & Technology StatisticsCustomer Reviews
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