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ARPN Journal of Science and Technology >> Volume 7, Issue 2, November 2017

ARPN Journal of Science and Technology

The Solution of Lagrange Interpolation Approaches with Maple 6 on the Experimental Data

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Author Mehmet Korkmaz, Ercan Efe
ISSN 2225-7217
On Pages 492-511
Volume No. 3
Issue No. 5
Issue Date June 01, 2013
Publishing Date June 01, 2013
Keywords Lagrange Interpolation, Newton Interpolation, Experimental Data


In this study, Lagrange interpolation technique which could be an alternative modeling passing to exactly all data points with respect to linear or nonlinear models was applied to experimental data by using Maple 6 packaged software. Since this model is a polynomial function, researcher could easily find extremum points and turning points (if exist) or he/she could easily find the result values of the interpolation values of a factor or the interpolation values of the result values of a factor. The standard errors of the result values mentioned above could be found with Lagrange interpolation method. Confidence bounds were determined according to statistical significance level. For that reason, density of the sowing of cotton variety Ersan-92 belonging to the first year of the experiment data is used.

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