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Includes bibliography.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2015
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| _version_ | 1867613169381277696 |
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| access_status_str | Open Access |
| author | Button, Peter |
| author2 | Zucchini, Walter |
| author_browse | Button, Peter Zucchini, Walter |
| author_facet | Zucchini, Walter Button, Peter |
| author_sort | Button, Peter |
| collection | Thesis |
| description | Includes bibliography. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/14299 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:52.071Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/14299 Models for ocean waves Button, Peter Zucchini, Walter Ocean waves - Mathematical models Ocean waves - Statistical methods Time-series analysis Includes bibliography. Ocean waves represent an important design factor in many coastal engineering applications. Although extreme wave height is usually considered the single most important of these factors there are other important aspects that require consideration. These include the probability distribution of wave heights, the seasonal variation and the persistence, or duration, of calm and storm periods. If one is primarily interested in extreme wave height then it is possible to restrict one's attention to events which are sufficiently separated in time to be effectively independently (and possibly even identically) distributed. However the independence assumption is not tenable for the description of many other aspects of wave height behaviour, such as the persistence of calm periods. For this one has to take account of the serial correlation structure of observed wave heights, the seasonal behaviour of the important statistics, such as mean and standard deviation, and in fact the entire seasonal probability distribution of wave heights. In other words the observations have to be regarded as a time series. 2015-10-25T17:00:52Z 2015-10-25T17:00:52Z 1988 Master Thesis Masters MSc http://hdl.handle.net/11427/14299 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Ocean waves - Mathematical models Ocean waves - Statistical methods Time-series analysis Button, Peter Models for ocean waves |
| thesis_degree_str | Master's |
| title | Models for ocean waves |
| title_full | Models for ocean waves |
| title_fullStr | Models for ocean waves |
| title_full_unstemmed | Models for ocean waves |
| title_short | Models for ocean waves |
| title_sort | models for ocean waves |
| topic | Ocean waves - Mathematical models Ocean waves - Statistical methods Time-series analysis |
| url | http://hdl.handle.net/11427/14299 |
| work_keys_str_mv | AT buttonpeter modelsforoceanwaves |