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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 8 | Page No.: 1597-1599
DOI: 10.3923/jas.2008.1597.1599
 
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Polynomial (Non Linear) Regression Method for Improved Estimation Based on Sampling

Emmanuel John Ekpenyong, Mfon Ime Okonnah and Eno Donatus John

Abstract:
We seek to proffer estimates of the parameters of the dependent variable having a polynomial relationship with the independent variable, specifically that of order two. The variances of the mean and total estimates of the dependent variable are derived. The efficiency and precision of the method are shown by comparing its estimates with those of linear regression and elemental sampling methods through the use of sampled data by simple random sampling without replacement from simulated data.
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How to cite this article:

Emmanuel John Ekpenyong, Mfon Ime Okonnah and Eno Donatus John, 2008. Polynomial (Non Linear) Regression Method for Improved Estimation Based on Sampling. Journal of Applied Sciences, 8: 1597-1599.

DOI: 10.3923/jas.2008.1597.1599

URL: https://scialert.net/abstract/?doi=jas.2008.1597.1599

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