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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this study, three methods for finding Least Absolute Values Estimates developed by Charnes et al. (1995), Gonin and Money (1989) and Li (1998), are compared with respect to Central Process Unit (CPU) time and the size of the determination coefficients.
📌 3 Key Takeaways
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Objective & Hypothesis:Several methods have been developed to estimate the regression model parameters using the Least Absolute Values method.
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Key Findings & Data:Several methods have been developed to estimate the regression model parameters using the Least Absolute Values method.
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Conclusion & Impact:In this study, three methods for finding Least Absolute Values Estimates developed by Charnes et al. (1995), Gonin and Money (1989) and Li (1998), are compared with respect to Central Process Unit (CPU) time and the size of the determination coefficients.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Least Squares · Least Absolute Values · Linear Programming
Abstract
Several methods have been developed to estimate the regression model parameters using the Least Absolute Values method. In this study, three methods for finding Least Absolute Values Estimates developed by Charnes et al. (1995), Gonin and Money (1989) and Li (1998), are compared with respect to Central Process Unit (CPU) time and the size of the determination coefficients.
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Cite This Article
GÖKPINAR, F., ÇEREZCİ, E. T. (2022). A COMPARISON OF THREE LINEAR PROGRAMMING MODELS FOR COMPUTING LEAST ABSOLUTE VALUES ESTIMATES. Hacettepe Journal of Mathematics and Statistics, Cilt: 34 - Sayı:, 95–102. https://ajindex.com/articles/530801