Nonparametric Statistics For Stochastic Processes, Vol. 110 Book

Nonparametric Statistics For Stochastic Processes, Vol. 110, This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are, Nonparametric Statistics For Stochastic Processes, Vol. 110

3.5 out of 5 stars based on 2 reviews

Nonparametric Statistics For Stochastic Processes, Vol. 110
Written by author Denis Bosq
Published by Springer-Verlag New York, LLC, August 1998
This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are
This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are

Buy Digital USD$99.99

Book Categories

Authors

Preface to the first edition
Preface to the second edition
Synopsis 1
Ch. 1 Inequalities for mixing processes 17
Ch. 2 Density estimation for discrete time processes 41
Ch. 3 Regression estimation and prediction for discrete time processes 67
Ch. 4 Kernel density estimation for continuous time processes 89
Ch. 5 Regression estimation and prediction in continuous time 129
Ch. 6 The local time density estimator 145
Ch. 7 Implementation of nonparametric method and numerical applications 169
References 197
Index 207

Title: Nonparametric Statistics For Stochastic Processes, Vol. 110

Manufacturer:

Steidl Publishing

Item Number: 9780387985909

Publication Date: August 1998

Product Description: Full Name: Nonparametric Statistics For Stochastic Processes, Vol. 110; Short Name:Nonparametric Statistics For Stochastic Processes

Universal Product Code (UPC): 9780387985909

WonderClub Stock Keeping Unit (WSKU): 9780387985909

Rating: 3.5/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/59/09/9780387985909.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 0.490 cm (0.19 inches)

Heigh : 6.140 cm (2.42 inches)

Depth: 9.210 cm (3.63 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

Price	Condition	Delivery	Seller	Action
$99.99	Digital	Arrives between Apr 24 - May 24 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00	WonderClub (9295 total ratings)

Question Concerning Nonparametric Statistics For Stochastic Processes

Ask a Question about Nonparametric Statistics For Stochastic Processes

No Question found!

Read Reviews for Nonparametric Statistics For Stochastic Processes, Vol. 110 Write review

Melanie Madore

reviewed Nonparametric Statistics For Stochastic Processes, Vol. 110 on October 25, 2018

Nonparametric Statistics For Stochastic Processes

A collection of interviews that provide an high level informal summary of Chaitin's life work.

You must be logged in to add to Wishlist

This item is in your Wish List

This item is in your Collection

This Item is in Your Inventory

You must be logged in to review the products

Nonparametric Statistics For Stochastic Processes, Vol. 110, This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are, Nonparametric Statistics For Stochastic Processes, Vol. 110

Add Nonparametric Statistics For Stochastic Processes, Vol. 110, This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are, Nonparametric Statistics For Stochastic Processes, Vol. 110 to the inventory that you are selling on WonderClub

Add Nonparametric Statistics For Stochastic Processes, Vol. 110, This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are, Nonparametric Statistics For Stochastic Processes, Vol. 110 to your collection on WonderClub

Nonparametric Statistics For Stochastic Processes, Vol. 110 Book

Book Categories

Authors

Steidl Publishing

Question Concerning Nonparametric Statistics For Stochastic Processes

Read Reviews for Nonparametric Statistics For Stochastic Processes, Vol. 110 Write review

Login

Complaints

Blog

Games

Digital Media

Souls

Obituary

Contact Us

FAQ

You must be logged in to add to Wishlist

This item is in your Wish List

This item is in your Collection

This Item is in Your Inventory

You must be logged in to review the products

	Preface to the first edition
	Preface to the second edition
	Synopsis	1
Ch. 1	Inequalities for mixing processes	17
Ch. 2	Density estimation for discrete time processes	41
Ch. 3	Regression estimation and prediction for discrete time processes	67
Ch. 4	Kernel density estimation for continuous time processes	89
Ch. 5	Regression estimation and prediction in continuous time	129
Ch. 6	The local time density estimator	145
Ch. 7	Implementation of nonparametric method and numerical applications	169
	References	197
	Index	207