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http://krishi.icar.gov.in/jspui/handle/123456789/14388
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Arpan Bhowmik | en_US |
dc.contributor.author | Eldho Varghese | en_US |
dc.contributor.author | Seema Jaggi | en_US |
dc.contributor.author | Cini Varghese | en_US |
dc.date.accessioned | 2018-11-30T06:26:55Z | - |
dc.date.available | 2018-11-30T06:26:55Z | - |
dc.date.issued | 2016-07-20 | - |
dc.identifier.citation | Arpan Bhowmik, Eldho Varghese, Seema Jaggi & Cini Varghese (2016): Minimally changed run sequences in factorial experiments, Communications in Statistics - Theory and Methods, DOI: 10.1080/03610926.2016.1152490 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1080/03610926.2016.1152490 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/14388 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Randomization of run sequences in factorial experiments may result in large number of changes in factor levels whichwill make the experimentation expensive, time-consuming and difficult. Experiments in which it is difficult to change the levels of factor(s) use of minimally changed run sequences may often be preferable to a random run sequence. In the present paper, we have developed method for obtaining minimally changed run sequences for factorial experiments. The general expression of factor-wise number of level changes for the developed minimally changed run sequences has also been obtained.Arelationship has been established between the time count effect of a lower order factorial with minimally changed run sequences and that of a higher order factorial with minimally changed run sequences obtained through the lower order minimally changed run sequences. For providing a readymade solution to the end users, a SAS macro has also been developed for generating these minimally changed run sequences along with its parameters. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Taylor and Francis | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Factorial | en_US |
dc.subject | macro | en_US |
dc.subject | minimal change | en_US |
dc.subject | randomization | en_US |
dc.subject | run sequence | en_US |
dc.subject | time count | en_US |
dc.title | Minimally changed run sequences in factorial experiments | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Communications in Statistics - Theory and Methods | en_US |
dc.publication.volumeno | VOL. 0, NO. 0, | en_US |
dc.publication.pagenumber | 1–16 | en_US |
dc.publication.divisionUnit | Design of Experiments | en_US |
dc.publication.sourceUrl | 10.1080/03610926.2016.1152490 | en_US |
dc.publication.sourceUrl | http://dx.doi.org/10.1080/03610926.2016.1152490 | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 6.61 | - |
Appears in Collections: | AEdu-IASRI-Publication |
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