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Air Quality Monitoring and Advanced Bayesian Modeling
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Air Quality Monitoring and Advanced Bayesian Modeling
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Air Quality Monitoring and Advanced Bayesian Modeling
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Air Quality Monitoring and Advanced Bayesian Modelling
Published by Elsevier - Health Sciences Division, 2023
ISBN 10: 0323902669 ISBN 13: 9780323902663
Language: English
US$ 172.65
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Add to basketCondition: New. Über den AutorYongjie Li is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Macau. He obtained his Ph.D. degree in Environmental Engineering from The Hong Kong University of Scien.
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Air Quality Monitoring and Advanced Bayesian Modeling
Published by Elsevier - Health Sciences Division, US, 2023
ISBN 10: 0323902669 ISBN 13: 9780323902663
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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US$ 236.26
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Add to basketPaperback. Condition: New. Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and case studies related to monitoring methods of criteria air pollutants, advanced methods for real-time characterization of chemical composition of PM and VOCs, and emerging strategies for air quality monitoring. The book illustrates concepts and theories through case studies about the development of common statistical air quality forecasting models. Readers will also learn advanced topics such as the Bayesian model class selection, adaptive forecasting model development with Kalman filter, and the Bayesian model averaging of multiple adaptive forecasting models.
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Air Quality Monitoring and Advanced Bayesian Modeling
Published by Elsevier - Health Sciences Division, US, 2023
ISBN 10: 0323902669 ISBN 13: 9780323902663
Language: English
US$ 221.23
Convert currencyUS$ 88.30 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: New. Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and case studies related to monitoring methods of criteria air pollutants, advanced methods for real-time characterization of chemical composition of PM and VOCs, and emerging strategies for air quality monitoring. The book illustrates concepts and theories through case studies about the development of common statistical air quality forecasting models. Readers will also learn advanced topics such as the Bayesian model class selection, adaptive forecasting model development with Kalman filter, and the Bayesian model averaging of multiple adaptive forecasting models.
