Logo

Applied Nonparametric Regression

Large book cover: Applied Nonparametric Regression

Applied Nonparametric Regression
by

Publisher: Cambridge University Press
ISBN/ASIN: 0521429501
ISBN-13: 9780521429504
Number of pages: 433

Description:
This book represents an optimally estimated common thread for the numerous topics and results in the fast-growing area of nonparametric regression. The user-friendly approach taken by the author has successfully smoothed out most of the formidable asymptotic elaboration in developing the theory. This is an excellent collection for both beginners and experts.

Home page url

Download or read it online for free here:
Download link
(4.4MB, PDF)

Similar books

Book cover: Theory of Probability: A Historical EssayTheory of Probability: A Historical Essay
by - arXiv.org
This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. The book covers an extremely wide field, and is targeted at the same readers as any other book on history of science.
(10676 views)
Book cover: Stochastic Integration and Stochastic Differential EquationsStochastic Integration and Stochastic Differential Equations
by - University of Texas
Written for graduate students of mathematics, physics, electrical engineering, and finance. The students are expected to know the basics of point set topology up to Tychonoff's theorem, general integration theory, and some functional analysis.
(16927 views)
Book cover: Introduction to Randomness and StatisticsIntroduction to Randomness and Statistics
by - arXiv
This is a practical introduction to randomness and data analysis, in particular in the context of computer simulations. At the beginning, the most basics concepts of probability are given, in particular discrete and continuous random variables.
(17251 views)
Book cover: Think Stats: Probability and Statistics for ProgrammersThink Stats: Probability and Statistics for Programmers
by - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
(27179 views)