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|a 9780122821509
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|a 621.38/0436
|2 22
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|a UAMI
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|a Gibson, Jerry D.
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|a Introduction to nonparametric detection with applications /
|c Jerry D. Gibson, James L. Melsa.
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|a New York :
|b Academic Press,
|c 1975.
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|a 1 online resource (xii, 241 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Mathematics in science and engineering ;
|v v. 119
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|a Includes bibliographical references (pages 232-235) and index.
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|a Print version record.
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|a Front Cover; Introduction to Nonparametric Detection with Applications; Copyright Page; Contents; Preface; Chapter 1. Introduction to Nonparametric Detection Theory; 1.1 Introduction; 1.2 Nonparametric versus Parametric Detection; 1.3 Historical and Mathematical Background; 1.4 Outline of the Book; Chapter 2. Basic Detection Theory; 2.1 Introduction; 2.2 Basic Concepts; 2.3 Bayes Decision Criterion; 2.4 Neyman-Pearson Lemma; 2.5 Receiver Operating Characteristics; 2.6 Composite Hypotheses; 2.7 Detector Comparison Techniques; 2.8 Summary; Chapter 3. One-Input Detectors; 3.1 Introduction
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|a 3.2 Parametric Detectors3.3 Sign Detector; 3.4 Wilcoxon Detector; 3.5 Fisher-Yates, Normal Scores, or c1 Test; 3.6 Van der Waerden's Test; 3.7 Spearman Rho Detector; 3.8 Kendall Tau Detector; 3.9 summary; Problems; Chapter 4. One-Input Detector Performance; 4.1 Introduction; 4.2 Sign Detector; 4.3 Wilcoxon Detector; 4.4 One-Input Detector AREs; 4.5 Small Sample Performance; 4.6 Summary; Problems; Chapter 5. Two-Input Detectors; 5.1 Introduction; 5.2 One-Input Detectors with Reference Noise Samples; 5.3 Two Simultaneous Input Detectors; 5.4 Summary; Problems
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|a Chapter 6. Two-Input Detector Performance6.1 Introduction; 6.2 Asymptotic Results for Parametric Detectors; 6.3 ARE of the PCC Detector; 6.4 ARE of the Mann-Whitney Detector; 6.5 ARE of Other Two-Input Detectors; 6.6 Small Sample Results; 6.7 Summary; Problems; Chapter 7. Tied Observations; 7.1 Introduction; 7.2 General Procedures; 7.3 Specific Studies; 7.4 Summary; Problems; Chapter 8. Dependent Sample Performance; 8.1 Introduction; 8.2 Dependence and the Constant False Alarm Rate Property; 8.3 Nonparametric and Parametric Detector Performance for Correlated Inputs; 8.4 Summary; Problems
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|a Chapter 9. Engineering Applications9.1 Introduction; 9.2 Radar System Applications; 9.3 Other Engineering Applications; 9.4 Summary; Appendix A: Probability Density Functions; Appendix B: Mathematical Tables; Answers to Selected Problems; References; Index
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|a Introduction to nonparametric detection with applications.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Nonparametric signal detection.
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650 |
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|a Demodulation (Electronics)
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|a Statistical hypothesis testing.
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|a Signal processing.
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|a Traitement du signal.
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|a Démodulation (Électronique)
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|a Tests d'hypothèses (Statistique)
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|a Détection non paramétrique du signal.
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|a TECHNOLOGY & ENGINEERING
|x Electrical.
|2 bisacsh
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|a Signal processing.
|2 fast
|0 (OCoLC)fst01118281
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|a Demodulation (Electronics)
|2 fast
|0 (OCoLC)fst00890130
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650 |
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|a Nonparametric signal detection.
|2 fast
|0 (OCoLC)fst01038852
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|a Statistical hypothesis testing.
|2 fast
|0 (OCoLC)fst01132063
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700 |
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|a Melsa, James L.
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776 |
0 |
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|i Print version:
|a Gibson, Jerry D.
|t Introduction to nonparametric detection with applications.
|d New York : Academic Press, 1975
|z 9780122821509
|w (DLC) 75003579
|w (OCoLC)1502196
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830 |
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|a Mathematics in science and engineering ;
|v v. 119.
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|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=297035
|z Texto completo
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