Regression Analysis of Principal Dimensions and Speed of Aircraft Carriers

• Autorzy: Bi J. Y. , Zong Z.
• Języki publikacji: EN

Abstrakty

EN

In this paper empirical formulas relating the speed to principal dimensions of aircraft carriers have been obtained through regression analysis of the data of 105 aircraft carriers. To reduce uncertainty as much as possible, aircraft carriers are classified into several different categories. In each category, regression analysis is separately performed such that a variety of regression (empirical) formulas have thus been obtained for possible use at the initial design stage of a carrier. The goodness of fit of these formulas is finally analyzed through variance analysis.

Słowa kluczowe

EN

aircraft carriers; speed; principal dimensions; regression; variance

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2014
• Tom: nr 1
• Strony: 35--41
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Bi J. Y.

• School of Transportation, Ludong University, Yantai 264025, China

autor

Zong Z.

• School of Naval Architecture Engineering, Dalian University of Technology, Dalian 116024, China

Bibliografia

• 1. Carrica P.M., Wilson R.V. and Stern F.: Unsteady RANS simulation of the ship forward speed diffraction problem, Computers & Fluids, 35, 6, 545-570, 2006.
• 2. Gu M.T.: The principles of ship design, Shanghai Jiao Tong University Press, Shanghai, 2001.
• 3. Ireland B.: The Illustrated Guide to Aircraft Carriers of the World, Hermes House, London, 2005.
• 4. Paroka D., Ohkura Y. and Umeda N.: Analytical Prediction of Capsizing Probability of a Ship in Beam Wind and Waves, Journal of Ship Research, 50, 2, 187-195(9) , 2006.
• 5. Schneekluth H. and Bertram V.: Ship Design for Efficiency and Economy, Butterworth & Heinemann, Oxford, 1998.
• 6. Sen A. and Srivastava M.: Regression Analysis: Theory, Methods, and Applications, Springer, New York, 1997.
• 7. Zong Z.: Information-Theoretic Methods for Estimating Complicated Probability Distributions, Elsevie Science, Amsterdam, 2006.