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U-Statistics, Mm-Estimators and Resa...
~
Chatterjee, Snigdhansu.
U-Statistics, Mm-Estimators and Resampling
Record Type:
Language materials, printed : Monograph/item
Title/Author:
U-Statistics, Mm-Estimators and Resampling/ by Arup Bose, Snigdhansu Chatterjee.
Author:
Bose, Arup.
other author:
Chatterjee, Snigdhansu.
Description:
XV, 174 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-981-13-2248-8
ISBN:
9789811322488
U-Statistics, Mm-Estimators and Resampling
Bose, Arup.
U-Statistics, Mm-Estimators and Resampling
[electronic resource] /by Arup Bose, Snigdhansu Chatterjee. - 1st ed. 2018. - XV, 174 p.online resource. - Texts and Readings in Mathematics,2366-8717. - Texts and Readings in Mathematics,71.
Chapter 1. Introduction to U-statistics -- Chapter 2. M-estimators and U-statistics -- Chapter 3. Introduction to resampling -- Chapter 4. Resampling U-statistics and M-estimators -- Chapter 5. An Introduction to R.
This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
ISBN: 9789811322488
Standard No.: 10.1007/978-981-13-2248-8doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
U-Statistics, Mm-Estimators and Resampling
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Chapter 1. Introduction to U-statistics -- Chapter 2. M-estimators and U-statistics -- Chapter 3. Introduction to resampling -- Chapter 4. Resampling U-statistics and M-estimators -- Chapter 5. An Introduction to R.
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This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
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