Introduction to nonparametric detection with applications / Jerry D. Gibson, James L. Melsa.

Includes bibliographical references (pages 232-235) and index.

Print version record.

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

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

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

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

Introduction to nonparametric detection with applications.

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