Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Softcover

Tartakovsky, Alexander

Softcover

ISBN 10: 1032084359 ISBN 13: 9781032084350

Verlag: Chapman and Hall/CRC, 2021

Inhaltsangabe

Statistical methods for sequential hypothesis testing and changepoint detection have applications across many fields. This book presents an overview of methodology in these related areas, providing a synthesis of research from the last few decades.

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Über die Autorin bzw. den Autor

Alexander Tartakovsky is a Professor and Head of the Space Informatics Laboratory at the Moscow Institute of Physics and Technology and President of AGT StatConsult, Los Angeles, California, USA. From 1997 to 2013, he was a Professor at the Department of Mathematics and the Associate Director of the Center for Applied Mathematical Sciences at the University of Southern California, Los Angeles. From 2013 to 2015, he was a Professor at the Department of Statistics at the University of Connecticut at Storrs. He is a fellow of the Institute of Mathematical Statistics and a recipient of the 2007 Abraham Wald Award in Sequential Analysis. His research interests include theoretical and applied statistics, sequential analysis, changepoint detection phenomena, statistical image and signal processing, video surveillance and object detection and tracking, information integration/fusion, cybersecurity, and detection and tracking of malicious activity. He is the author of three books, several book chapters, and over 150 journal and conference publications.

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 1032084359
• ISBN 13: 9781032084350
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 320
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar