# e-Book Convergence of Stochastic Processes (Springer Series in Statistics) download

## by D. Pollard

**ISBN:**0387909907

**ISBN13:**978-0387909905

**Language:**English

**Publisher:**Springer; 1984 edition (October 8, 1984)

**Pages:**215

**Category:**Mathematics

**Subategory:**Math Science

**ePub size:**1268 kb

**Fb2 size:**1255 kb

**DJVU size:**1860 kb

**Rating:**4.3

**Votes:**338

**Other Formats:**lrf mbr lrf mbr

Springer Series in Statistics. Convergence of Stochastic Processes

Springer Series in Statistics. Convergence of Stochastic Processes. A more accurate title for this book might be: An Exposition of Selected Parts of Empirical Process Theory, With Related Interesting Facts About Weak Convergence, and Applications to Mathematical Statistics. The high points are Chapters II and VII, which describe some of the developments inspired by Richard Dudley's 1978 paper. There I explain the combinatorial ideas and approximation methods that are needed to prove maximal inequalities for empirical processes indexed by classes of sets or classes of functions.

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David Pollard Convergence of Stochastic Processes With 36 Illustrations Springer-Verlag New York Berlin Heidelberg . Adventures in Stochastic Processes.

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Springer Series in Statistics. Chapter · March 2008 with 20 Reads. In addition, the main statistical functions of the approximate solution stochastic process obtained by truncation of the exact power series solution, which generates random Laguerre polynomials, are also given. How we measure 'reads'. Several illustrative examples are provided.

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**Richard Serfozo**

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**Marc A. Berger**

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**Kenneth N. Berk,Jay L. Devore**

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