Doctoral Dissertations


Statistical methods for the analysis of aerosol concentration data


Yi Ye

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, page iii.


Mathematics and Statistics

Degree Name

Ph. D. in Mathematics


University of Missouri--Rolla

Publication Date

Summer 2005


viii, 89 pages

Note about bibliography

Includes bibliographical references (pages 86-88).


© 2005 Yi Ye, All rights reserved.

Document Type

Dissertation - Citation

File Type




Subject Headings

Aerosols -- Analysis
Aerosols -- Mathematical models
Mathematical optimization

Thesis Number

T 8820

Print OCLC #


Link to Catalog Record

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