Non-Linear Regression Models to Predict the Lamb and Sheep Weight Growth

Authors

  • Muhammad Aman Ullah Department of Statistics, Bahauddin Zakariya University, Multan 60800, Pakistan
  • Muhammad Amin Department of Statistics, Bahauddin Zakariya University, Multan 60800, Pakistan
  • Muhammad Ansar Abbas Department of Statistics, Bahauddin Zakariya University, Multan 60800, Pakistan

DOI:

https://doi.org/10.3923/pjn.2013.865.869

Keywords:

Growth curve, lamb weight, non-linear regression modeling, sheep weight

Abstract

The study of living organism growth is the hot issue now a days in biological sciences. In this research, we explore the descriptive analysis of Lamb and Sheep weight growth in Pakistan. Also the non-linear regression models are identified on the basis of model selection criteria’s for lamb and sheep weight growth prediction. From the analysis, we have found that for commercial sheep, spring born lambs and twin born lambs, the best model is the Von Bertalanffy model. While for predicting the weight of male commercial sheep, autumn born and single born lambs, the best model is the Brody model.

References

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Published

15.08.2013

Issue

Section

Research Article

How to Cite

Ullah, M. A., Amin, M., & Abbas, M. A. (2013). Non-Linear Regression Models to Predict the Lamb and Sheep Weight Growth. Pakistan Journal of Nutrition, 12(9), 865–869. https://doi.org/10.3923/pjn.2013.865.869

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