An edition of Model-free curve estimation (1993)

Model-free curve estimation

by and

  • 1 Want to read
Cover of: Model-free curve estimation by Michael E. Tarter, Michael D. Lock, Michael E. Tarter
Locate

My Reading Lists:

Create a new list

Check-In

×Close
Add an optional check-in date. Check-in dates are used to track yearly reading goals.
Today
Notes
  • 1 Want to read
Notes

Check nearby libraries

Buy this book

Last edited by MARC Bot
December 8, 2022 | History
Edit
An edition of Model-free curve estimation (1993)

Model-free curve estimation

by and

  • 1 Want to read

This book details Fourier series approach to density estimation and also explores how model-free technology can be expanded to deal with other statistical curves such as survival and regression functions. Beyond these traditional curves, the book describes the implementation of some new curves for exploratory data analysis.

These include a specialized curve for detecting and analyzing hidden subpopulations in data and a family of curves useful for finding the best transformation and model to use in a statistical analysis. Throughout the emphasis is on the practical aspects of implementing and applying curve-estimation techniques although theoretical matters are addressed when necessary

Publish Date
Publisher
Chapman & Hall
Language
English
Pages
300

Check nearby libraries

Buy this book

Subjects

Curve fitting, Estimation theory, Mathematical statistics, Fourier series, Real analysis, Regression analysis, Estimation, théorie de l', Courbes empiriques, Schattingstheorie, Kurve, Schätztheorie
Edition Availability
Cover of: Model-free curve estimation
Model-free curve estimation
1993, Chapman & Hall
Hardcover in English

Add another edition?

Book Details

Edition Notes

Includes bibliographical references (p. 262-276) and indexes.

Published in
New York
Series
Monographs on statistics and applied probability ;

Classifications

Dewey Decimal Class
519.5/44
Library of Congress
QA276.8 .T36 1993, QA276.8.T36 1993

The Physical Object

Format
Hardcover
Pagination
x, 290 p. :
Number of pages
300
Weight
2 pounds

ID Numbers

Open Library
OL1427280M
ISBN 10
0412042517
LCCN
93038411
OCLC/WorldCat
29183070
Library Thing
5164896
Goodreads
2787625

Source records

Library of Congress MARC record
Better World Books record
harvard_bibliographic_metadata record
marc_columbia MARC record

Work Description

Model-free curve estimation details the Fourier series approach to density estimation and explores how model-free technology can be expanded to deal with other statistical curves, such as survival and regression functions. It also describes the implementation of some curves for exploratory data analysis, including a specialized curve for detecting and analyzing hidden subpopulations in data and a family of curves useful for finding the best transformation and model to use in a statistical analysis.

Community Reviews (0)

Feedback?
No community reviews have been submitted for this work.

Lists

See All

History

Download catalog record: RDF / JSON
December 8, 2022 Edited by MARC Bot import existing book
November 18, 2020 Edited by Kaustubh Chakraborty Added description
December 4, 2010 Edited by Open Library Bot Added subjects from MARC records.
April 28, 2010 Edited by Open Library Bot Linked existing covers to the work.
December 10, 2009 Created by WorkBot add works page