Doctoral Dissertations

Title

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, leaf iii.

Department(s)

Mathematics and Statistics

Degree Name

Ph. D. in Mathematics

Publisher

University of Missouri--Rolla

Publication Date

Summer 2005

Pagination

viii, 89 leaves

Note about bibliography

Includes bibliographical references (leaves 86-88).

Rights

© 2005 Yi Ye, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Aerosols -- Analysis
Aerosols -- Mathematical models
Mathematical optimization

Thesis Number

T 8820

Print OCLC #

70284096

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

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