Bivariate and Multivariate Data Cloning through Non Linear Regression Models

  • Sajid Hussain Department of Statistics, The Islamia University of Bahawalpur, Pakistan
  • Zafar Iqbal Department of Statistics, The Islamia University of Bahawalpur, Pakistan
  • Muhammad Mansoor Department of Statistics, Government S. E. College, Bahawalpur, Pakistan
  • Rashid Ahmed Department of Statistics, The Islamia University of Bahawalpur, Pakistan
Keywords: cloned data, nonlinear regression model, fictitious datasets, data visualization

Abstract

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Nonlinear regression analysis holds significant popularity in mathematical, engineering, and social science domains. Disciplines like financial matters, biology, and natural chemistry have broadly utilized nonlinear regression models (NLRMs). Cloned datasets have their own importance in such areas which provide the same fit of bivariate and multivariate nonlinear regression models for the actual datasets. This article presents a sequence of cloned datasets that give exactly the same fit of bivariate and multivariate nonlinear regression models.

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Published
2023-08-28
How to Cite
1.
Hussain S, Iqbal Z, Muhammad Mansoor, Rashid Ahmed. Bivariate and Multivariate Data Cloning through Non Linear Regression Models. Sci Inquiry Rev. [Internet]. 2023Aug.28 [cited 2024Dec.4];7(3):1-21. Available from: https://journals.umt.edu.pk/index.php/SIR/article/view/3556
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Orignal Article