An Alternative Approach to Estimate the Coefficients for Non-Orhogonal Data
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Statistics | India | Volume 4 Issue 9, September 2015

An Alternative Approach to Estimate the Coefficients for Non-Orhogonal Data

B. Saikia, R. Singh

Multicollinearity can cause serious problem in estimation and prediction, increasing the variance of least squares estimators of the regression coefficients and tending to produce least square estimates that are too large in absolute value. This paper shows how the dynamic programming algorithm can be used to estimate the regression coefficient. It also shows how the algorithm can be used to calculate various statistical quantities like the coefficient of determination, the F-statistics and the t-statistics.

Keywords: Dynamic programming, Least Square, Multicollinearity

Edition: Volume 4 Issue 9, September 2015

Pages: 1020 - 1023

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How to Cite this Article?

B. Saikia, R. Singh, "An Alternative Approach to Estimate the Coefficients for Non-Orhogonal Data", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB158245, Volume 4 Issue 9, September 2015, 1020 - 1023

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