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2005•Journal of Computing and Information TechnologyOpen access

Interval Estimate for Specific Points in Polynomial Regression

Katarina Ko�melj, Andrej Blejec, Anton Cedilnik

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Abstract

This paper presents the interval estimate for specific points in polynomial regression: zero of a linear regression, abscissa of the extreme of a quadratic regression, abscissa of the inflection point of a cubic regression. Two different approaches are under study. An application of these two approaches based on quadratic regression in presented: interval estimate for the plant density giving optimal yield of maize is under consideration.

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What this paper is about

This paper presents the interval estimate for specific points in polynomial regression: zero of a linear regression, abscissa of the extreme of a quadratic regression, abscissa of the inflection point of a cubic regression. Two different approaches are under study. An application of these two approaches based on quadratic regression in presented: interval estimate for the plant density giving optimal yield of maize is under consideration.

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Available abstract

This paper presents the interval estimate for specific points in polynomial regression: zero of a linear regression, abscissa of the extreme of a quadratic regression, abscissa of the inflection point of a cubic regression. Two different approaches are under study. An application of these two approaches based on quadratic regression in presented: interval estimate for the plant density giving optimal yield of maize is under consideration.

Key concepts: Polynomial regression, Segmented regression, Regression analysis, Interval (graph theory), Regression, Inflection point, Statistics, Quadratic equation

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