Prediction of typhoon design wind speed with cholesky decomposition method

2018 ◽  
Vol 27 (11) ◽  
pp. e1480 ◽  
Author(s):  
W.F. Huang ◽  
J.P. Sun
Keyword(s):  
Wind Speed ◽  
Decomposition Method ◽  
Cholesky Decomposition ◽  
Design Wind Speed ◽  
Cholesky Decomposition Method

Uncertainty Assessment of Input Parameters for Economic Evaluation: Gauss’s Error Propagation, an Alternative to Established Methods

2009 ◽  
Vol 30 (3) ◽  
pp. 304-313 ◽  
Author(s):  
Björn Stollenwerk ◽  
Stephanie Stock ◽  
Uwe Siebert ◽  
Karl W. Lauterbach ◽  
Rolf Holle
Keyword(s):  
Economic Evaluation ◽  
Standard Deviation ◽  
Parameter Uncertainty ◽  
Error Propagation ◽  
Decomposition Method ◽  
Claims Data ◽  
Cholesky Decomposition ◽  
Uncertainty Assessment ◽  
Propagation Law ◽  
Cholesky Decomposition Method

In decision modeling for health economic evaluation, bootstrapping and the Cholesky decomposition method are frequently used to assess parameter uncertainty and to support probabilistic sensitivity analysis. An alternative, Gauss’s error propagation law, is rarely known but may be useful in some settings. Bootstrapping, the Cholesky decomposition method, and the error propagation law were compared regarding standard deviation estimates of a hypothetic parameter, which was derived from a regression model fitted to simulated data. Furthermore, to demonstrate its value, the error propagation law was applied to German administrative claims data. All 3 methods yielded almost identical estimates of the standard deviation of the target parameter. The error propagation law was much faster than the other 2 alternatives. Furthermore, it succeeded the claims data example, a case in which the established methods failed. In conclusion, the error propagation law is a useful extension of parameter uncertainty assessment.

scholarly journals Comparative Assessment of Different Modelling Schemes and Their Applicability to Inland Small Reservoirs: A Central Europe Case Study

2020 ◽  
Vol 12 (24) ◽  
pp. 10692
Author(s):  
Petr Pelikán ◽  
Věra Hubačíková ◽  
Tatiana Kaletová ◽  
Jakub Fuska
Keyword(s):  
Wind Speed ◽  
Landscape Management ◽  
Water Reservoir ◽  
Shore Protection ◽  
Good Opportunity ◽  
Small Water ◽  
Design Wind Speed ◽  
Run Up ◽  
American Society ◽  
Sustainable Landscape Management

Sustainable landscape management involve also water reservoir management. The demand of their reconstruction represents a good opportunity for redesigning hydrotechnical structures and their parameters using recent methods and models. The estimation of wind-driven waves on small water reservoirs and their effects on water reservoir structures rarely are applied, although it is an important part of the dam height calculation. The analysis of wave run-up on the upstream face of the dam was performed by means of the Slovak Technical Standard (STN), Coastal Engineering Manual (CEM), Shore Protection Manual (SPM) and model designed by American Society of Agricultural and Biological Engineers (ASABE). The estimations of the wave characteristics differ depending on the model; wave height (H13%) within the range 0.32–0.56 m, wave period 1.32–2.11 s and run-up (R2%) 0.84–1.68 m under conditions of design wind speed 25 m·s−1. Results obtained by CEM, SPM models predict lower values than STN and ASABE models. Since the height difference between the dam crest and still water level in the reservoir is only 0.90 m, we can expect overtopping of the crest by waves after the critical wind speed is exceeded.

Development of Design Wind Speed Estimation Model for Underwriting Non-Disaster-Resistant of Vinyl House

2017 ◽  
Vol 17 (1) ◽  
pp. 209-218
Author(s):  
Jinho Kim ◽  
◽  
Junyeong Kim ◽  
Sungsu Lee ◽  
Ji Seok Byeon ◽  
...  
Keyword(s):  
Wind Speed ◽  
Speed Estimation ◽  
Estimation Model ◽  
Design Wind Speed

scholarly journals A Study on the Wedge Angle of the Rail Clamp according to the Design Wind Speed Criteria Change

2005 ◽  
Vol 29 (7) ◽  
pp. 641-646 ◽  
Author(s):  
Jung-Myung Lee ◽  
Dong-Seop Han ◽  
Geun-Jo Han ◽  
Young-Hwan Jeon
Keyword(s):  
Wind Speed ◽  
Wedge Angle ◽  
Design Wind Speed
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