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Theory and application of uniform experimental designs
- 作者： Fang, Kai-Tai, author.
- 其他作者：
- 其他題名：
- Lecture notes in statistics ;
- 出版： Singapore : Springer Singapore :Imprint: Springer
- 叢書名： Lecture notes in statistics,volume 221
- 主題： Experimental design. , Statistical Theory and Methods. , Applied Statistics.
- ISBN： 9789811320415 (electronic bk.) 、 9789811320408 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Introduction -- Uniformity Criteria -- Construction of Uniform Designs-Deterministic Methods -- Construction of Uniform Designs-Algorithmic Optimization Methods -- Modeling Techniques -- Connections Between Uniformity and Other Design Criteria -- Applications of Uniformity in Other Design Types -- Uniform Design for Experiments with Mixtures.
- 摘要註: The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design. It discusses measures of uniformity, various construction methods of uniform designs, modeling techniques, design and modeling for experiments with mixtures, and the usefulness of the uniformity in block, factorial and supersaturated designs. Experimental design is an important branch of statistics with a long history, and is extremely useful in multi-factor experiments. Involving rich methodologies and various designs, it has played a key role in industry, technology, sciences and various other fields. A design that chooses experimental points uniformly scattered on the domain is known as uniform experimental design, and uniform experimental design can be regarded as a fractional factorial design with model uncertainty, a space-filling design for computer experiments, a robust design against the model specification, and a supersaturated design and can be applied to experiments with mixtures.
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讀者標籤：
- 系統號： 005437791 | 機讀編目格式
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