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Convergence of Stochastic Processes (Springer Series in Statistics)
D. Pollard
€ 193.45
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Description for Convergence of Stochastic Processes (Springer Series in Statistics)
Paperback. Series: Springer Series in Statistics. Num Pages: 236 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 157 x 234 x 16. Weight in Grams: 362.
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. The material is somewhat arbitrarily divided into results used to prove consistency theorems and results used to prove central limit theorems. This ... Read more
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. The material is somewhat arbitrarily divided into results used to prove consistency theorems and results used to prove central limit theorems. This ... Read more
Product Details
Format
Paperback
Publication date
1984
Publisher
Springer
Condition
New
Series
Springer Series in Statistics
Number of Pages
215
Place of Publication
New York, NY, United States
ISBN
9781461297581
SKU
V9781461297581
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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