Design and statistical analysis of confounded factorial experiments

dc.contributor.advisor W. G. Cochran Li, Jerome
dc.contributor.department Mathematics 2018-08-23T03:02:55.000 2020-06-30T07:24:30Z 2020-06-30T07:24:30Z Fri Jan 01 00:00:00 UTC 1943 1943
dc.description.abstract <p>Ten confounded factorial experiments were designed with the purpose of filling in the existing gaps among the available plans. The method of analyzing such experiments was presented and illustrated by the 5 x 2 x 2 experiment. For each design, the reasons why a particular plan was adopted were discussed; the instructions for computing the sums of squares and for constructing the summary tables were given; and the extent of confounding was determined.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 13882
dc.identifier.contextkey 6866433
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/12883
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 19:32:11 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Statistics
dc.subject.keywords Field experiments--Statistical methods
dc.subject.keywords Mathematical Statistics
dc.title Design and statistical analysis of confounded factorial experiments
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 82295b2b-0f85-4929-9659-075c93e82c48 dissertation Doctor of Philosophy
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
6.02 MB
Adobe Portable Document Format