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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Plant numbers 5, 22, 23, 29 had low lifetime and/or low final weight, as such these are not included in these 44 plants used in prediction.
References
Brewester JL (1987) The effect of temperature on the rate of sprout growth and development within stored onion bulbs. Ann App Biol 111:463–465
Dasgupta R (2013) Yam growth experiment and above-ground biomass as possible predictor. advances in growth curve models: topics from the Indian statistical institute. In: Proceedings in mathematics & statistics, Chapter 1, vol 46. Springer, Berlin, pp 1–33
Dasgupta R (2015) Growth curve reconstruction in damaged experiment via nonlinear calibration. In: Growth curve and structural equation modeling: topics from the Indian statistical institute, Chapter 7. Springer, Cham, pp 119–134
Dasgupta R, Pan A (2015) Growth curve of phase change in presence of polycystic ovary syndrome. In: Growth curve and structural equation modeling: topics from the Indian statistical institute, Chapter 8. Springer, Cham, pp 135–149
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Dasgupta, R. (2017). Growth Curve Estimation of a Bulb Crop from Incomplete Data. In: Dasgupta, R. (eds) Growth Curve Models and Applications. GCM 2016. Springer Proceedings in Mathematics & Statistics, vol 204. Springer, Cham. https://doi.org/10.1007/978-3-319-63886-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-63886-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63885-0
Online ISBN: 978-3-319-63886-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)