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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
Transformation Methodology for Best Linear Regression Mode
Authors
Khadar Babu SK, Rajesh Anand B
Keywords
Variable transformation methodology, best linear model, the coefficient of determination, mean squared error
Abstract
For construction and identification of the best linear model , we can adopt some standard applied probabilistic methods for making and construction of the standard regression models. In some situations , we can take generalized linear model methodology for making a best linear regression model with respect to the relationship between variance and expected values of the random variable X are used. When we can transform the variables into others shows that the transformation of the variable strictly followed the variance stabilizing transformations. The present paper used to identify the best transformation with respect to the relation between variance and mean of the explanatory variables. After the model building , adopt model testing statistical measures to select the best optimized standard regression model for statistical analysis.
IJCRT's Publication Details
Unique Identification Number - IJCRT2311242
Paper ID - 246275
Page Number(s) - c57-c59
Pubished in - Volume 11 | Issue 11 | November 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Khadar Babu SK, Rajesh Anand B, "Transformation Methodology for Best Linear Regression Mode", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.c57-c59, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311242.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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