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Application of nonparametric additive model for input-response analysis in arecanut

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Title Application of nonparametric additive model for input-response analysis in arecanut
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Creator Jose, C. T.
Bhat, Ravi
 
Subject Additive model, arecanut, crop production model, input response analysis, nonparametric regression
 
Description Not Available
The relationships between the inputs and response are very complex in crop production models. Problems like nonlinear relationships
between inputs and responses, nonexistence of proper functional form to represent relationship between inputs and response
variable and multi-collinearity are very common in crop production data. The traditional multiple linear regression technique may
not be adequate in many situations to explain input output relationship. In this paper we have used nonparametric additive
regression model to explain input output relationship in arecanut. The comparative study shows that the nonparametric additive
modeling technique performed much better than the multiple linear regression technique to explain the input response relationship.
The estimated values of the component functions provide the mean response of input variables on the yield of arecanut. The
optimum value of the input variables is obtained from the graphical representation of the component functions. The present
analysis of data from the two districts show that input response relationship vary depending on the agro-climatic conditions of the
locations.
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Date 2021-08-02T06:18:25Z
2021-08-02T06:18:25Z
2008-02-07
 
Type Research Paper
 
Identifier Jose, C. T. and Bhat Ravi. 2008. Application of nonparametric additive model for input-response analysis in arecanut. J. Plantation Crops. 36(1): 49-52.
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http://krishi.icar.gov.in/jspui/handle/123456789/51951
 
Language English
 
Relation Not Available;
 
Publisher Indian Society for Plantation Crops