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Introduction to nonparametric detection with applications by Gibson, Jerry D.

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Published by IEEE Press in Piscataway, NJ .
Written in English

Subjects:

  • Nonparametric signal detection.,
  • Demodulation (Electronics),
  • Statistical hypothesis testing.

Book details:

Edition Notes

StatementJerry D. Gibson, James L. Melsa.
ContributionsMelsa, James L.
Classifications
LC ClassificationsTK5102.5 .G48 1996
The Physical Object
Paginationxiv, 241 p. :
Number of Pages241
ID Numbers
Open LibraryOL800212M
ISBN 100780311612
LC Control Number95036501

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Journals & Books; Register Sign in. Sign in Register. Latest volume All volumes. Search in this book series. Introduction to Nonparametric Detection with Applications. Edited by Jerry D. Gibson, James L. Melsa. Volume , Pages iii-xii, () select article Chapter 1 Introduction to Nonparametric Detection Theory. https://doi.   This core IEEE Press reissue is the only book devoted solely to nonparametric detection - the key to maintaining good performance over a wide range of conditions. Throughout, the authors employ the classical Neyman-Pearson approach, which is widely applicable to detection problems in communications, radar, sonar, acoustics, and Edition: 1. Introduction to Nonparametric Detection with Applications | Jerry D. Gibson and James L. Melsa (Eds.) | download | B–OK. Download books for free. Find books. The aim of this book is to give a short but mathematically self-contained introduction to the theory of nonparametric estimation. The emphasis is on the construction of optimal estimators; therefore the concepts of minimax optimality and adaptivity, as well as the oracle approach, occupy the central place in the by:

In the performance section of the book, which consists of the remaining chapters, the calculation of certain performance parameters is illustrated, the effects of experimental methods are demonstrated, and 8 I Introduction to Nonparametric Detection Theory the performance of the nonparametric detectors for various applications is given. The aim of this book is to give a short but mathematically self-contained introduction to the theory of nonparametric estimation. The emphasis is on the construction of optimal estimators; therefore the concepts of minimax optimality and adaptivity, as well as the oracle approach, occupy the central place in the book. This book is an introduction to basic ideas and techniques of nonparametric statistical methods. and is intended to prepare students of the sciences as well as the humanities, for a better. understanding of some underlying explanations of real life situations. Introduction to Nonparametric Detection with Applications Sign up to save your library With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.

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