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Designs for fitting Poisson regression model

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Title Designs for fitting Poisson regression model
Not Available
 
Creator Shwetank Lall
Seema Jaggi
Eldho Varghese
Arpan Bhowmik
Cini Varghese
 
Subject Saturated designs
D–optimality
Fisher information matrix
 
Description Not Available
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.
Not Available
 
Date 2018-05-20T08:01:01Z
2018-05-20T08:01:01Z
2018-04
 
Type Research Paper
 
Identifier 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
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/6075
 
Language English
 
Relation Not Available;
 
Publisher Journal of Crop and Weed