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ysu1197565064.pdf (1.59 MB)
ETD Abstract Container
Abstract Header
Seasonal Time Series Model Comparison for Nonstationary Passenger Flight Data
Author Info
Moore, Theresa Lynn
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1197565064
Abstract Details
Year and Degree
2007, Master of Science in Mathematics, Youngstown State University, Department of Mathematics and Statistics.
Abstract
The objective of this paper is to analyze the number of passengers flying a sample of three airlines before and after 9/11 to discover whether there has been a recovery. The three airlines were modeled using simple linear regression and time series analysis. Dummy variables and trigonometric functions were used to mimic the seasonal variation and additive decomposition was used to remove the seasonal component and model the trend. The additive decomposition quadratic models were deemed the best fits. From the quadratic models is concluded that the three airlines chosen for this paper have recovered from the effects of 9/11.
Committee
G. Kerns (Advisor)
Pages
188 p.
Subject Headings
Mathematics
;
Statistics
Keywords
Passenger Flight Data
;
Statistics
;
Mathematics
;
Time Series
;
Nonstationary
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Citations
Moore, T. L. (2007).
Seasonal Time Series Model Comparison for Nonstationary Passenger Flight Data
[Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1197565064
APA Style (7th edition)
Moore, Theresa.
Seasonal Time Series Model Comparison for Nonstationary Passenger Flight Data.
2007. Youngstown State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1197565064.
MLA Style (8th edition)
Moore, Theresa. "Seasonal Time Series Model Comparison for Nonstationary Passenger Flight Data." Master's thesis, Youngstown State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1197565064
Chicago Manual of Style (17th edition)
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Document number:
ysu1197565064
Download Count:
1,394
Copyright Info
© 2007, all rights reserved.
This open access ETD is published by Youngstown State University and OhioLINK.