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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/6075
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shwetank Lall | en_US |
dc.contributor.author | Seema Jaggi | en_US |
dc.contributor.author | Eldho Varghese | en_US |
dc.contributor.author | Arpan Bhowmik | en_US |
dc.contributor.author | Cini Varghese | en_US |
dc.date.accessioned | 2018-05-20T08:01:01Z | - |
dc.date.available | 2018-05-20T08:01:01Z | - |
dc.date.issued | 2018-04 | - |
dc.identifier.citation | Lall, S., Jaggi, S., Varghese, E., Bhowmik, A. and Varghese, C. (2018). Designs for fitting Poisson regression model. Journal of Crop and Weed, 14(1): 117-121 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/6075 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Experiments related to herbicides or insecticides usually have the objective to find the effective concentration of the chemicals to control weeds or insects and to understand the relationship between the response and explanatory variables. The response is the number or proportion of organisms died and thus, is count data. The present study deals with the problem of developing experimental designs under Poisson regression model, which is a nonlinear model with count data as response. The focus here is to determine the unknown parameters of the model efficiently. The statistical designs generated are saturated and their performance is found better than traditionally used equally spaced designs. A simulation study is presented to demonstrate the application of the generated designs in actual experiment. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Journal of Crop and Weed | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Saturated designs | en_US |
dc.subject | D–optimality | en_US |
dc.subject | Fisher information matrix | en_US |
dc.title | Designs for fitting Poisson regression model | 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 | Journal of Crop and Weed | en_US |
dc.publication.volumeno | 14(1) | en_US |
dc.publication.pagenumber | 117-121 | en_US |
dc.publication.divisionUnit | Design of Experiments | en_US |
dc.publication.sourceUrl | http://www.cropandweed.com/archives/2018/vol14issue1/14.1.21.pdf | 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 | 5.46 | - |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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21_MS 876.pmd.pdf | 63.28 kB | Adobe PDF | View/Open |
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