Natural neighbor interpolation methods, such as Sibson's method, are well-known schemes for multivariate data fitting and reconstruction. Despite its many desirable properties, Sibson's method is computational...
详细信息
The paper is devoted the problem of robust forecasting for the beta-mixed hierarchical models of grouped binary data in the case of stochastic additive distortions of binary observations. In the case of known lower an...
详细信息
ISBN:
(纸本)9856107334
The paper is devoted the problem of robust forecasting for the beta-mixed hierarchical models of grouped binary data in the case of stochastic additive distortions of binary observations. In the case of known lower and upper bounds of the distortion intervals, a new robust minimax Bayes predictor is developed. The performance of the proposed forecasting technique is validated by computer simulation.
The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into a...
详细信息
The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.
Small training sample effects common in statistical classification and artificial neural network classifier design are discussed. A review of known small sample results are presented, and peaking phenomena related to ...
详细信息
作者：
CHENG, BHDEAN, JSMILLER, RWCAVE, WLBill H. Cheng:is a physical scientist in the Numerical Fluid Dynamics Branch
Computation Mathematics and Logistics Department David Taylor Research Center (DTRC) Bethesda MD. Since joining DTRC in 1981 he has been the project leader for the XYZ Free Surface (XYZFS) Program. He received a B.S. in mechanical engineering from the National Taiwan University and a M.A.Sc. in mechanical engineering from the University of British Columbia and a S.M. degree in oceanography and meteorology from Harvard University. Mr. Cheng is a registered professional engineer in the Commonwealth of Virginia and a member of American Society of Mechanical Engineers and Sigma Xi. His experience in fluid dynamics has included theory experiments and computations. He has been the author and coauthor of numerous technical reports and papers. Janet S. Dean:is a mathematician in the Numerical Fluid Dynamics Branch
DTRC. She attended the College of William and Mary and received her B.S. degree in mathematics from The George Washington University. Mrs. Dean assisted Charles Dawson in the development of the original XYZFS Program. She has worked on improving and extending the capabilities of XYZFS and on the application of supercomputers to fluid dynamics problems. Ronald W. Miller:is a mechanical engineer in the Numerical Fluid Dynamics Branch
DTRC. He received his B.A. degree in mathematics from the University of Maryland—Baltimore County Campus in 1984 and his M.S. in ocean and marine engineering from The George Washington University in 1988. Mr. Miller is responsible for the preparation of hull geometry data used in ship hydrodynamic analysis computer codes and the graphical visualization of output from such codes. William L. Cave III:graduated from Stevens Institute of Technology in 1986 with a B.E. degree in ocean engineering. He is currently a naval architect in the Design Evaluation Branch
Ship Hydromechanics Department DTRC. He has been involved with model testing and evaluation of the CV-41 FFG-7 class USNSHayesCG-47 class
A computational capability has been developed to predict and visualize the flow about podded propulsors appended to the 154-foot transom stern research vessel, R/V Athena . The computer generation of a complex geometr...
详细信息
A computational capability has been developed to predict and visualize the flow about podded propulsors appended to the 154-foot transom stern research vessel, R/V Athena . The computer generation of a complex geometric model for the hull and appendages is an important part of this new capability. The flow field is computed using a free surface potential flow method. The steady flow induced by the propulsor is simulated by an idealized propeller model (actuator disk). The upstream effects of an actuator disk are examined and results are compared to the case without an actuator disk. Computed results for the inflow to the propeller disk are presented as velocity vector plots and contour plots. Harmonic analyses are performed on the computed velocity components. The numerical results can be used in conjunction with experiments performed at DTRC to aid in the design of podded propulsors. These flow studies are used to examine the proper alignment of the pod/strut system with the aim of obtaining the optimal flow into the propeller. The combined numerical and experimental approach is shown to be an efficient way to evaluate complex hull forms with podded propulsors. This powerful design approach can be used for future Navy ship designs.
暂无评论