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: Probability and Statistics: A Course for Physicists and EngineersProbability and Statistics: A Course for Physicists and Engineers
by - De Gruyter Open
This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. Designed for students in engineering and physics.
(9055 views)
Book cover: Statistics, Probability, and Game Theory: papers in honor of David BlackwellStatistics, Probability, and Game Theory: papers in honor of David Blackwell
by - IMS
The bulk of the articles in this volume are research articles in probability, statistics, gambling, game theory, Markov decision processes, set theory and logic, comparison of experiments, games of timing, merging of opinions, etc.
(14262 views)
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.
(15230 views)
Book cover: Introduction to Probability Theory and Statistics for LinguisticsIntroduction to Probability Theory and Statistics for Linguistics
by - UCLA
Contents: Basic Probability Theory (Conditional Probability, Random Variables, Limit Theorems); Elements of Statistics (Estimators, Tests, Distributions, Correlation and Covariance, Linear Regression, Markov Chains); Probabilistic Linguistics.
(13755 views)