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: Principles of Data AnalysisPrinciples of Data Analysis
by - Prasenjit Saha
This is a short book about the principles of data analysis. The emphasis is on why things are done rather than on exactly how to do them. If you already know something about the subject, then working through this book will deepen your understanding.
(14951 views)
Book cover: Probability, Statistics and Stochastic ProcessesProbability, Statistics and Stochastic Processes
by
Contents: Probability (Probability Calculus, Random Variables, Discrete and Continuous Distributions); Statistics (Handling of Data, Sampling, Estimation, Hypothesis Testing); Stochastic Processes (Markov Processes, Continuous-Time Processes).
(12211 views)
Book cover: Convergence of Stochastic ProcessesConvergence of Stochastic Processes
by - Springer
Selected parts of empirical process theory, with applications to mathematical statistics. The book describes the combinatorial ideas needed to prove maximal inequalities for empirical processes indexed by classes of sets or classes of functions.
(16098 views)
Book cover: Correlation and CausalityCorrelation and Causality
by - John Wiley & Sons Inc
This text is a general introduction to the topic of structural analysis. It presumes no previous acquaintance with causal analysis. It is general because it covers all the standard, as well as a few nonstandard, statistical procedures.
(17069 views)