It takes the average reader 5 hours and 29 minutes to read Air Quality Monitoring and Advanced Bayesian Modeling by Yongjie Li
Assuming a reading speed of 250 words per minute. Learn more
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
Air Quality Monitoring and Advanced Bayesian Modeling by Yongjie Li is 324 pages long, and a total of 82,296 words.
This makes it 109% the length of the average book. It also has 101% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 29 minutes to read Air Quality Monitoring and Advanced Bayesian Modeling aloud.
Air Quality Monitoring and Advanced Bayesian Modeling is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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