Research Article Open Access

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

Authors

CORRESPONDING AUTHOR
Muhammad Aman Ullah
Department of Statistics, Bahauddin Zakariya University, Multan 60800, Pakistan
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Muhammad Amin
Department of Statistics, Bahauddin Zakariya University, Multan 60800, Pakistan
|
Muhammad Ansar Abbas
Department of Statistics, Bahauddin Zakariya University, Multan 60800, Pakistan
Published on: August 15, 2013
DOI 10.3923/pjn.2013.865.869
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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.

Keywords:

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

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Copyright (c) 2013 Asian Network for Scientific Information

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This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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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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