Statistical methods for the analysis of aerosol concentration data
Keywords and Phrases
Aerosol data analysis; Mismatch correction
"Aerosols, their characteristics, and their environmental impacts are topics of basic and applied science and are studied by physicists, chemists, meteorologists, as well as by statisticians. The methodology of aerosol data analysis is a substantial part of aerosol science. The accuracy of aerosol particulate measurements depends on instrumental, physical and human limitations, and experiment uncertainty. Measurement precision and calibration correction provided by the instrument manufacturers may not always directly apply to all experimental settings. This dissertation presents statistical methods for assessing and/or improving accuracy of measurements, developing models for particulate data, and for correcting potential bias. A case study is used to introduce a method for mismatch and saturation correction for a situation where multiple instruments measure different attributes of an air sample. The method needs few assumptions and little computational requirements. Simulations under a variety of settings are also studied. Possible applications are on analysis of aerosol particulate data or other complex environmental data"--Abstract, leaf iii.
Mathematics and Statistics
Ph. D. in Mathematics
University of Missouri--Rolla
viii, 89 leaves
© 2005 Yi Ye, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Aerosols -- Analysis
Aerosols -- Mathematical models
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5587585~S5
Ye, Yi, "Statistical methods for the analysis of aerosol concentration data" (2005). Doctoral Dissertations. 1620.