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2001-Knisley-Kerley-Using data to motivate the models used in introductory differential equations

Author(s): Jeff Knisley1, Lyndell Kerley1

NA

Keywords: regression logistic Torricelli's Law growth periodic process

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Abstract

Resource Image In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.

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Knisley, Jeff and Lyndell Kerley. 2001.  Using data to motivate the models used in introductory differential equations. PRIMUS. 11(2): 111-123.

See https://www.tandfonline.com/doi/abs/10.1080/10511970108965983 . Accessed 27 March 2023.

Articles from this journal are FREEly available for members of the Mathematical Association of America through the member portal at www.maa.org.

Abstract: Although data is often used to estimate parameters for models in calculus and differential equations, the models themselves are seldom justified. In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.

KEYWORDS: Modeling, regression, logistic equation, periodic process, Matlab, Maple, Torricelli’s Law, data, differential equation, model, growth

 

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Author(s): Jeff Knisley1, Lyndell Kerley1

NA

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