Introduction to Nonparametric Estimation (Springer Series in Statistics) [ Alexandre B. Tsybakov] on *FREE* shipping on qualifying offers. Editorial Reviews. Review. From the reviews: “The book is meant to be an introduction to the Look inside this book. Introduction to Nonparametric Estimation (Springer Series in Statistics) by [Tsybakov, Alexandre B. This is a concise text developed from lecture notes and ready to be used for a course on the graduate level. The main idea is to introduce the fundamental.
|Published (Last):||13 April 2004|
|PDF File Size:||4.85 Mb|
|ePub File Size:||18.25 Mb|
|Price:||Free* [*Free Regsitration Required]|
Book ratings by Goodreads.
Introduction to Nonparametric Estimation
Sivakumar Thulasimani marked it as to-read Sep 12, Check out the top books of the year on our extimation Best Books of Each chapter now has the bibliographic notes and contains the exercises section. Open Preview See a Problem? Nikita Zhiltsov marked it as to-read Sep 12, The author contends to present the material A short and rigorous introduction to minimax results for estimators of densities and regression functions from independent observations. Craig Lavalle marked it as to-read Sep 12, This well written book will be welcomed by all those interested in learning the presented concepts.
Unknown elements in these models are, in general, some functions having certain properties of smoo- ness. Klicken Sie auf 2. Iranica added it Aug 13, Books by Alexandre B. Return to Book Page.
Introduction to Nonparametric Estimation.
It was designed for ap- proximation of possibly irregular functions and surfaces and was successfully applied in data compressi The detailed proofs given in the book will help the interested reader to understand the subject better. Daniel Korzekwa marked it as to-read Sep 12, Developed from lecture notes and ready to be used for a course on the graduate level, this concise text aims to introduce the fundamental concepts of nonparametric estimation theory while maintaining the exposition suitable for a nonpzrametric approach in the field.
La th orie de l’estimation non-param trique s’est d velopp e consid rablement ces deux derni res d introducfion, en se fixant pour objectif quelques th mes principaux, en particulier, l’ tude de l’optimalit des estimateurs et l’estimation adaptative. This book is not yet featured on Listopia. Review quote From the reviews: Statistical models that explain the data in a more consistent way are often more complex: Haibin marked it as to-read Sep 17, Refresh and try again.
Sen, International Statistical Review, Vol. Aad Van Der Vaart.
My thanks also go to Vladimir Zaiats for his highly competent translation of the French original into English and to John Kimmel for being a very supportive and patient editor. Dispatched from the UK in 3 business days When will my order arrive?
Introduction to Nonparametric Estimation – Alexandre B Tsybakov – Bok () | Bokus
Bharath marked it as to-read Sep 12, Product details Format Hardback pages Dimensions x x There are no discussion topics on this book yet. Alexlzhao added it Sep 12, Michelle Tran marked it as to-read Sep 23, B added it Sep 27, Back cover copy Methods of nonparametric estimation are located at the core of modern statistical science.
Want to Read saving…. Goodreads is the world’s largest site for readers with over 50 million reviews. Forecasting with Exponential Smoothing Rob J. However, parametric models provide introductiin an approximation, often imprecise, of the – derlying statistical structure. The book has three chapters.
Introduction to Nonparametric Estimation (eBook, PDF)
Julien marked it as to-read Oct 24, This book is an excellent introduction to the results and techniques of minimax estimation. To see what your friends thought of this book, please sign up.
Vikram Jha marked it as to-read Sep 22, The author should be complimented for a good treatise with detailed proofs of several important results in nonparametric estimation theory. Each of the three chapters ends with a section containing detailed biographical notes and a section with exercises complementing and illustrating the main results.