國立虎尾科技大學 |

Theory and Application of Uniform Experimental Designs

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Theory and Application of Uniform Experimental Designs/ by Kai-Tai Fang, Min-Qian Liu, Hong Qin, Yong-Dao Zhou.
作者:	Fang, Kai-Tai.
其他作者:	Liu, Min-Qian.
面頁冊數:	XVI, 300 p. 46 illus., 30 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-981-13-2041-5
ISBN:	9789811320415

Theory and Application of Uniform Experimental Designs
Fang, Kai-Tai.

Theory and Application of Uniform Experimental Designs[electronic resource] /by Kai-Tai Fang, Min-Qian Liu, Hong Qin, Yong-Dao Zhou. - 1st ed. 2018. - XVI, 300 p. 46 illus., 30 illus. in color.online resource. - Lecture Notes in Statistics,2210930-0325 ;. - Lecture Notes in Statistics,214.

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 -- .

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.

ISBN: 9789811320415

Standard No.: 10.1007/978-981-13-2041-5doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Theory and Application of Uniform Experimental Designs
LDR:02775nam a22003975i 4500 001 989020
003 DE-He213
005 20200714132842.0
007 cr nn 008mamaa
008 201225s2018 si | s |||| 0|eng d
020 $a 9789811320415 $9 978-981-13-2041-5
024 7 $a 10.1007/978-981-13-2041-5 $2 doi
035 $a 978-981-13-2041-5
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Fang, Kai-Tai. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1209613
245 1 0 $a Theory and Application of Uniform Experimental Designs $h [electronic resource] / $c by Kai-Tai Fang, Min-Qian Liu, Hong Qin, Yong-Dao Zhou.
250 $a 1st ed. 2018.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a XVI, 300 p. 46 illus., 30 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Statistics, $x 0930-0325 ; $v 221
505 0 $a 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 -- .
520 $a 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.
650 0 $a Statistics . $3 1253516
650 1 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Applied Statistics. $3 1205141
700 1 $a Liu, Min-Qian. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1280996
700 1 $a Qin, Hong. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1280997
700 1 $a Zhou, Yong-Dao. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1280998
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811320408
776 0 8 $i Printed edition: $z 9789811320422
830 0 $a Lecture Notes in Statistics, $x 0930-0325 ; $v 214 $3 1261934
856 4 0 $u https://doi.org/10.1007/978-981-13-2041-5
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)