頁籤選單縮合
題 名 | Bayesian Design and Analysis of Computer Experiments: Two Examples |
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作 者 | Mitchell,Toby J.; Morris,Max D.; | 書刊名 | Statistica Sinica |
卷 期 | 2:2 1992.07[民81.07] |
頁 次 | 頁359-379 |
分類號 | 319.9 |
關鍵詞 | 電腦仿真試驗; Bayesian prediction; Computer model; Combustion; Compression molding; Interpolation; Optimal design; Stochastic process; |
語 文 | 英文(English) |
英文摘要 | In a computer experiment, the data are produced by a computer program that models a physical system. The experiment consists of a set of model runs; the design of the experiment specifies the choice of program inputs for each run. This paper demonstrates two applications of a Bayesian method for the design and analysis of computer experiments to predict model output corresponding to input values for which the model has not been run. When the original code is long-running, the fast predictor produced by this method can serve as an efficient, though approximate, substitute. The models used in the two examples are (i) a computer model for the combustion of methane and (ii) a computer model that simulates the compression molding of sheet modeling compound in the manufacture of an automobile hood. |
本系統中英文摘要資訊取自各篇刊載內容。