Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment

Petr Zvyagin; Jaakko Heinonen

doi:10.1115/OMAE2017-62253

Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
Subtitle of host publication	Polar and Arctic Sciences and Technology, Petroleum Technology
Publisher	American Society of Mechanical Engineers ASME
Number of pages	6
Volume	8
ISBN (Electronic)	9780791857762
ISBN (Print)	978-0-7918-5776-2
DOIs	https://doi.org/10.1115/OMAE2017-62253
Publication status	Published - 1 Jan 2017
MoE publication type	A4 Article in a conference publication
Event	36th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2017 - Trondheim, Norway Duration: 25 Jun 2017 → 30 Jun 2017

Conference

Conference	36th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2017
Abbreviated title	OMAE2017
Country	Norway
City	Trondheim
Period	25/06/17 → 30/06/17

Keywords

ice ridges
ridge keel
joint confidence region
lognormal distribution

Access to Document

10.1115/OMAE2017-62253

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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. https://doi.org/10.1115/OMAE2017-62253

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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

Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment. / Zvyagin, Petr; Heinonen, Jaakko.

ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering: Polar and Arctic Sciences and Technology, Petroleum Technology. Vol. 8 American Society of Mechanical Engineers ASME, 2017. OMAE2017-62253.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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