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Bootstrap Techniques for Signal Processing Zoubir & Iskander HC

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Cambridge University Press; Cambridge, 2004. Hardcover. A Near Fine, binding sturdy and intact, some ... Read moreAbout condition
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Item specifics

Condition
Like New
A book that has been read, but looks new. The book cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. May have no identifying marks on the inside cover. No wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Cambridge University Press; Cambridge, 2004. Hardcover. A Near Fine, binding sturdy and intact, ...
ISBN
9780521831277
Subject Area
Technology & Engineering, Mathematics
Publication Name
Bootstrap Techniques for Signal Processing
Item Length
10 in
Publisher
Cambridge University Press
Subject
Signals & Signal Processing, Probability & Statistics / General
Publication Year
2004
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.7 in
Author
Abdelhak M. Zoubir, D. Robert Iskander
Item Width
7.1 in
Item Weight
22.1 Oz
Number of Pages
232 Pages

About this product

Product Information

The statistical bootstrap is a powerful tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, its limitations and model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB.

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
052183127x
ISBN-13
9780521831277
eBay Product ID (ePID)
16038430051

Product Key Features

Author
Abdelhak M. Zoubir, D. Robert Iskander
Publication Name
Bootstrap Techniques for Signal Processing
Format
Hardcover
Language
English
Subject
Signals & Signal Processing, Probability & Statistics / General
Publication Year
2004
Type
Textbook
Subject Area
Technology & Engineering, Mathematics
Number of Pages
232 Pages

Dimensions

Item Length
10 in
Item Height
0.7 in
Item Width
7.1 in
Item Weight
22.1 Oz

Additional Product Features

LCCN
2004-040407
Intended Audience
Scholarly & Professional
Lc Classification Number
Tk5102.9 .Z68 2004
Reviews
"This is a very useful handbook for engineers, especially those working in signal processing." Technometrics, '... an excellent text for a graduate level engineering course or a useful reference for those who wish to apply bootstrap techniques in their work.'Annals of Biomedical Engineering, "Bootstrap Techniques for Signal Processing's real strength lies in introducing bootstrap techniques from the practicioner's point of view. The text is written in a style that is easy to read. The authors' liberal use of examples serves ot reinforce application of the concepts presented.... The text is abundantly cross-referenced making it easier for those interested in further reading to find relevant works in their areas of interest. Each chapter ends with a concise summary of the salient points discussed. This books would be an excellent text for a graduate level engineering course or a useful reference for those who wish to apply bootstrap techniques in their work." Annals of Biomedical Engineering, '... an excellent text for a graduate level engineering course or a useful reference for those who wish to apply bootstrap techniques in their work.' Annals of Biomedical Engineering, "...well written and an interesting read with some good examples. The Matlab code supplied will no doubt be appreciated...and the algorithms were well displayed, allowing a programmer to easily implement them in the very useful addition." Angelo J. Canty, McMaster University for the Journal of the American Statistical Association, '… an excellent text for a graduate level engineering course or a useful reference for those who wish to apply bootstrap techniques in their work.' Annals of Biomedical Engineering
Table of Content
Preface; Notations; 1. Introduction; 2. The bootstrap principle; 3. Signal detection with the bootstrap; 4. Bootstrap model selection; 5. Real data bootstrap applications; Appendix 1. MATLAB codes for the examples; Apendix 2. Bootstrap MATLAB toolbox; References; Index.
Copyright Date
2003
Dewey Decimal
621.382/2
Dewey Edition
22
Illustrated
Yes

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