Theory and Application of Uniform Experimental Designs

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Synopsis

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.

Book details

Edition:
1st ed. 2018
Series:
Lecture Notes in Statistics (Book 221)
Author:
Kai-Tai Fang, Min-Qian Liu, Hong Qin, Yong-Dao Zhou
ISBN:
9789811320415
Related ISBNs:
9789811320408
Publisher:
Springer Singapore, Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2018-11-10
Usage restrictions:
Copyright
Copyright date:
2018
Copyright by:
Springer Nature Singapore Pte Ltd. and Science Press 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction