Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment
Sets of measurements of underwater ridge parts usually contain a limited amount of data. Outcomes need to be made while relying on small sample sizes. In this event, the chance of making inaccurate estimations increases. This paper proposes to use stochastic confidence regions in the estimation of t...
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American Society of Mechanical Engineers (ASME)
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ftvttcrispub:oai:cris.vtt.fi:publications/bf1a1ded-bb9f-43fb-a41d-ef3041eedb1e 2024-06-02T07:59:38+00:00 Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment Zvyagin, Petr Heinonen, Jaakko 2017-01-01 https://cris.vtt.fi/en/publications/bf1a1ded-bb9f-43fb-a41d-ef3041eedb1e https://doi.org/10.1115/OMAE2017-62253 http://www.scopus.com/inward/record.url?scp=85032177496&partnerID=8YFLogxK eng eng American Society of Mechanical Engineers (ASME) https://cris.vtt.fi/en/publications/bf1a1ded-bb9f-43fb-a41d-ef3041eedb1e urn:ISBN:978-0-7918-5776-2 info:eu-repo/semantics/closedAccess Zvyagin , P & Heinonen , J 2017 , Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment . in ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering : Polar and Arctic Sciences and Technology, Petroleum Technology . vol. 8 , OMAE2017-62253 , American Society of Mechanical Engineers (ASME) , 36th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2017 , Trondheim , Norway , 25/06/17 . https://doi.org/10.1115/OMAE2017-62253 ice ridges ridge keel joint confidence region lognormal distribution contributionToPeriodical 2017 ftvttcrispub https://doi.org/10.1115/OMAE2017-62253 2024-05-07T03:08:57Z Sets of measurements of underwater ridge parts usually contain a limited amount of data. Outcomes need to be made while relying on small sample sizes. In this event, the chance of making inaccurate estimations increases. This paper proposes to use stochastic confidence regions in the estimation of the unknown parameters of keel depths. A model for a random variable with a lognormal distribution for keel depths is assumed. Regions for the mean and standard deviation of keel depths are obtained from Mood’s and minimum-area confidence regions for parameters of the normally distributed random variable. Conservative safety probability of non-exceeding the critical keel depth in one random interaction of the ridge with structure is estimated. An algorithm for statistically assessment of ice ridge keel data by means of confidence region building is here offered. The assessment of a set of ridge keel depths for the Gulf of Bothnia (Baltic Sea) is performed. Article in Journal/Newspaper Arctic VTT's Research Information Portal Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology |
institution |
Open Polar |
collection |
VTT's Research Information Portal |
op_collection_id |
ftvttcrispub |
language |
English |
topic |
ice ridges ridge keel joint confidence region lognormal distribution |
spellingShingle |
ice ridges ridge keel joint confidence region lognormal distribution Zvyagin, Petr Heinonen, Jaakko Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment |
topic_facet |
ice ridges ridge keel joint confidence region lognormal distribution |
description |
Sets of measurements of underwater ridge parts usually contain a limited amount of data. Outcomes need to be made while relying on small sample sizes. In this event, the chance of making inaccurate estimations increases. This paper proposes to use stochastic confidence regions in the estimation of the unknown parameters of keel depths. A model for a random variable with a lognormal distribution for keel depths is assumed. Regions for the mean and standard deviation of keel depths are obtained from Mood’s and minimum-area confidence regions for parameters of the normally distributed random variable. Conservative safety probability of non-exceeding the critical keel depth in one random interaction of the ridge with structure is estimated. An algorithm for statistically assessment of ice ridge keel data by means of confidence region building is here offered. The assessment of a set of ridge keel depths for the Gulf of Bothnia (Baltic Sea) is performed. |
format |
Article in Journal/Newspaper |
author |
Zvyagin, Petr Heinonen, Jaakko |
author_facet |
Zvyagin, Petr Heinonen, Jaakko |
author_sort |
Zvyagin, Petr |
title |
Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment |
title_short |
Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment |
title_full |
Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment |
title_fullStr |
Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment |
title_full_unstemmed |
Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment |
title_sort |
application of confidence regions to ice ridge keel data statistical assessment |
publisher |
American Society of Mechanical Engineers (ASME) |
publishDate |
2017 |
url |
https://cris.vtt.fi/en/publications/bf1a1ded-bb9f-43fb-a41d-ef3041eedb1e https://doi.org/10.1115/OMAE2017-62253 http://www.scopus.com/inward/record.url?scp=85032177496&partnerID=8YFLogxK |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Zvyagin , P & Heinonen , J 2017 , Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment . in ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering : Polar and Arctic Sciences and Technology, Petroleum Technology . vol. 8 , OMAE2017-62253 , American Society of Mechanical Engineers (ASME) , 36th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2017 , Trondheim , Norway , 25/06/17 . https://doi.org/10.1115/OMAE2017-62253 |
op_relation |
https://cris.vtt.fi/en/publications/bf1a1ded-bb9f-43fb-a41d-ef3041eedb1e urn:ISBN:978-0-7918-5776-2 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1115/OMAE2017-62253 |
container_title |
Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology |
_version_ |
1800743755457757184 |