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Designs for fitting Poisson regression model

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Relation http://eprints.cmfri.org.in/14859/
https://www.cropandweed.com/archives/2018/vol14issue1/14.1.21.pdf
 
Title Designs for fitting Poisson regression model
 
Creator Lall, Shwetank
Jaggi, Seema
Varghese, Eldho
Bhowmik, Arpan
Varghese, Cini
 
Description 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.
 
Date 2018
 
Type Article
PeerReviewed
 
Format text
 
Language en
 
Identifier http://eprints.cmfri.org.in/14859/1/Journal%20of%20Crop%20and%20Weed_2018_Eldho%20Varghese.pdf
Lall, Shwetank and Jaggi, Seema and Varghese, Eldho and Bhowmik, Arpan and Varghese, Cini (2018) Designs for fitting Poisson regression model. Journal of Crop and Weed, 14 (1). pp. 117-121.