×


 x 

Shopping cart
Dennis Bosq - Nonparametric Statistics for Stochastic Processes - 9780387985909 - V9780387985909
Stock image for illustration purposes only - book cover, edition or condition may vary.

Nonparametric Statistics for Stochastic Processes

€ 184.91
FREE Delivery in Ireland
Description for Nonparametric Statistics for Stochastic Processes Paperback. Deals with the theory and applications of nonparametic functional estimation and prediction. This book provides an overview of inequalities and limit theorems for strong mixing processes. It studies density and regression estimation in discrete time. It presents the special rates of convergence which appear in continuous time. Series: Lecture Notes in Statistics. Num Pages: 248 pages, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 12. Weight in Grams: 730.
Recently new developments have taken place in the theory of nonpara- metric statistics for stochastic processes. Optimal asymptotic results have been obtained and special behaviour of estimators and predictors in con- tinuous time has been pointed out. This book is devoted to these questions. It also gives some indica- tions about implementation of nonparametric methods and comparison with parametric ones, including numerical results. Ma.ny of the results presented here are new and have not yet been published, expecially those in Chapters IV, V and VI. Apart from some improvements and corrections, this second edition con- tains a new chapter dealing ... Read more

Product Details

Format
Paperback
Publication date
1998
Publisher
Springer-Verlag New York Inc. United States
Number of pages
248
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
232
Place of Publication
New York, NY, United States
ISBN
9780387985909
SKU
V9780387985909
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Nonparametric Statistics for Stochastic Processes

Goodreads reviews for Nonparametric Statistics for Stochastic Processes


Subscribe to our newsletter

News on special offers, signed editions & more!