Lecture Notes in Statistics

Theory and Application of Uniform Experimental Designs

Authors: Fang, K.-T., Liu, M.-Q., Qin, H., Zhou, Y.-D.

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  • Equips readers with key idea and method of the uniform experimental designReviews the subject in both theoretical and applied aspectsDiscusses 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

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eBook 58,84 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-13-2041-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-13-2040-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

Kai-Tai Fang is a professor at the BNU-HKBU United International college and is a research professor at the Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing, China.

Min-Qian Liu is a professor at the Institute of Statistics, Nankai University, Tianjin, China

Hong Qin is a professor at the Faculty of Mathematics and Statistics, Central China Normal

University, Wuhan, China

Yong-Dao Zhou is a professor at the Institute of Statistics, Nankai University, Tianjin, China

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook 58,84 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-13-2041-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-13-2040-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Theory and Application of Uniform Experimental Designs
Authors
Series Title
Lecture Notes in Statistics
Series Volume
221
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd. and Science Press
eBook ISBN
978-981-13-2041-5
DOI
10.1007/978-981-13-2041-5
Softcover ISBN
978-981-13-2040-8
Series ISSN
0930-0325
Edition Number
1
Number of Pages
XVI, 300
Number of Illustrations
16 b/w illustrations, 30 illustrations in colour
Additional Information
Jointly published with Science Press, Beijing
Topics