Abstract
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 | |
| 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 |
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Keywords
- ice ridges
- ridge keel
- joint confidence region
- lognormal distribution
Cite this
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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
TY - GEN
T1 - Application of Confidence Regions to Ice Ridge Keel Data Statistical Assessment
AU - Zvyagin, Petr
AU - Heinonen, Jaakko
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - ice ridges
KW - ridge keel
KW - joint confidence region
KW - lognormal distribution
UR - http://www.scopus.com/inward/record.url?scp=85032177496&partnerID=8YFLogxK
U2 - 10.1115/OMAE2017-62253
DO - 10.1115/OMAE2017-62253
M3 - Conference article in proceedings
SN - 978-0-7918-5776-2
VL - 8
BT - ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
PB - American Society of Mechanical Engineers ASME
ER -