420,20 €
466,89 €
-10% with code: EXTRA
Air Quality Monitoring and Advanced Bayesian Modeling
Air Quality Monitoring and Advanced Bayesian Modeling
420,20
466,89 €
  • We will send in 10–14 business days.
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…
  • Publisher:
  • ISBN-10: 0323902669
  • ISBN-13: 9780323902663
  • Format: 19.1 x 23.5 x 1.7 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Air Quality Monitoring and Advanced Bayesian Modeling (e-book) (used book) | bookbook.eu

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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.
  • Covers fundamental to advanced applications of urban air quality monitoring and forecasting
  • Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques
  • Presents case studies throughout to provide real-world context to the research presented in the book

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  • Author: Yongjie Li
  • Publisher:
  • ISBN-10: 0323902669
  • ISBN-13: 9780323902663
  • Format: 19.1 x 23.5 x 1.7 cm, softcover
  • Language: English English

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.
  • Covers fundamental to advanced applications of urban air quality monitoring and forecasting
  • Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques
  • Presents case studies throughout to provide real-world context to the research presented in the book

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