Sequential Change Detection and Hypothesis Testing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch
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Sequential Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Robust Regression and Outlier Detection
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Elementary Signal Detection Theory
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Quickest Detection
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Anomaly Detection Principles and Algorithms (Terrorism, Security, and Computation)
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Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS
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Benford's Law: Theory, The General Law Of Relative Quantities, And Forensic Fraud Detection Applications
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Probability in Electrical Engineering and Computer Science: An Application-Driven Course
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