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.

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

Similar books

Book cover: Advanced Data Analysis from an Elementary Point of ViewAdvanced Data Analysis from an Elementary Point of View
by - Cambridge University Press
This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression. It began as the lecture notes.
(4004 views)
Book cover: Reversible Markov Chains and Random Walks on GraphsReversible Markov Chains and Random Walks on Graphs
by - University of California, Berkeley
From the table of contents: General Markov Chains; Reversible Markov Chains; Hitting and Convergence Time, and Flow Rate, Parameters for Reversible Markov Chains; Special Graphs and Trees; Cover Times; Symmetric Graphs and Chains; etc.
(8756 views)
Book cover: Lectures on Noise Sensitivity and PercolationLectures on Noise Sensitivity and Percolation
by - arXiv
The goal of this set of lectures is to combine two seemingly unrelated topics: (1) The study of Boolean functions, a field particularly active in computer science; (2) Some models in statistical physics, mostly percolation.
(6724 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.
(10739 views)