Growth curve estimation of a bulb crop from incomplete data

Document Type

Conference Article

Publication Title

Springer Proceedings in Mathematics and Statistics

Abstract

We reconstruct original growth curve from a partial data set arising out of substantially missing observations. Under the assumption that growth of an auxiliary variable is of similar rate, we calibrate the growth curve based on available yield data to infer about the growth based on full data. We further explore the relationship between the auxiliary variable with the main variable yield of the crop by the method of least squares and lowess regression under log-log transformation in the partial data. The reconstructed missing data from the model is then used to obtain growth curve from full data, partial plus reconstructed. The adopted procedure is validated and found to be satisfactory for estimating original growth curve.

First Page

151

Last Page

167

DOI

10.1007/978-3-319-63886-7_7

Publication Date

1-1-2017

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