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Transactions: WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
Transactions ID Number: 31-240
Full Name: Hsien-lun Wong
Position: Associate Professor
Age: ON
Sex: Male
Address: No1 Hsin-Hsing Road, Hsinfong, Hsinchu
Country: TAIWAN
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E-mail address: alan@mail.must.edu.tw
Other E-mails: alan.an0624@msa.hinet.net
Title of the Paper: Application of Non-Homogeneous Poisson Processes Modeling to Containership Arrival Rate
Authors as they appear in the Paper: shabg-hsing hsieh
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Number of paper pages: 10
Abstract: Abstract: - Estimating containership arrival rate is a key element in harbor operation and management; however, it is not easy to be described because of a wide range of external factors. Most of the literature discussing arrival processes is based on a homogeneous Poisson process, which is unable to describe the fluctuation status of growth or recession. In the paper, we propose the Non-Homogeneous Poisson Process to analyze the arrival process of containership. The Maximum Likelihood Method is used to estimate the parameters and the performance of the models. Finally, a real case of Taichung Harbor in Taiwan is taken as an example. The result shows that power law intensity function and logarithmic linear intensity function models all estimate that the containership arrival shows slow growth trend. Relative to power law intensity function, logarithmic linear intensity function is a model with better goodness-of-fit.
Keywords: Key-Words: - Non-homogeneous poisson process, containership arrival rate, power law intensity function, logarithmic linear intensity function.
EXTENSION of the file: .pdf
Special (Invited) Session: This paper is an invited paper (by publications@wseas.org) to one of additional journal publication.
Organizer of the Session: Business and Economics
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