Statistical methods for the analysis of aerosol concentration data

Author

Yi Ye

Keywords and Phrases

Aerosol data analysis; Mismatch correction

Abstract

"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.

Department(s)

Mathematics and Statistics

Degree Name

Ph. D. in Mathematics

Publisher

University of Missouri--Rolla

Publication Date

Summer 2005

Pagination

viii, 89 pages

Note about bibliography

Includes bibliographical references (pages 86-88).

Rights

© 2005 Yi Ye, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Aerosols -- AnalysisAerosols -- Mathematical modelsMathematical optimization

Thesis Number

T 8820

Print OCLC #

70284096

Recommended Citation

Ye, Yi, "Statistical methods for the analysis of aerosol concentration data" (2005). Doctoral Dissertations. 1620.
https://scholarsmine.mst.edu/doctoral_dissertations/1620