A note on the turning point for the quadratic trend

The quadratic trend is a statistical model described by the quadratic function. Finding its extremum (also called the vertex or the turning point) using differential calculus or completing the square method is very well known in the literature. In this paper, a new method for finding the extremum of...

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Main Authors: Kojić Vedran, Škrinjarić Tihana
Format: Article
Language:English
Published: Croatian Statistical Association 2019-12-01
Series:Croatian Review of Economic, Business and Social Statistics
Subjects:
Online Access:https://doi.org/10.2478/crebss-2019-0010
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author Kojić Vedran
Škrinjarić Tihana
author_facet Kojić Vedran
Škrinjarić Tihana
author_sort Kojić Vedran
collection DOAJ
description The quadratic trend is a statistical model described by the quadratic function. Finding its extremum (also called the vertex or the turning point) using differential calculus or completing the square method is very well known in the literature. In this paper, a new method for finding the extremum of the quadratic function, based on a simple mathematical inequality is proposed. In comparison with the other two known methods, our method does not require the differentiability assumption and it takes fewer steps than completing the square method. Also, it is shown how the turning point for the quadratic trend can be applied in forecasting the unemployment rate in Croatia in the first quarter of 2019. The obtained conclusions are equal to the conclusions obtained in the usual way by using forecasting software.
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spelling doaj.art-32c7ba55e1f04e9db4a96df8d1dd6dbf2024-04-03T08:59:40ZengCroatian Statistical AssociationCroatian Review of Economic, Business and Social Statistics2459-56162019-12-0152394810.2478/crebss-2019-0010A note on the turning point for the quadratic trendKojić Vedran0Škrinjarić Tihana1Faculty of Economics and Business, University of Zagreb, CroatiaFaculty of Economics and Business, University of Zagreb, CroatiaThe quadratic trend is a statistical model described by the quadratic function. Finding its extremum (also called the vertex or the turning point) using differential calculus or completing the square method is very well known in the literature. In this paper, a new method for finding the extremum of the quadratic function, based on a simple mathematical inequality is proposed. In comparison with the other two known methods, our method does not require the differentiability assumption and it takes fewer steps than completing the square method. Also, it is shown how the turning point for the quadratic trend can be applied in forecasting the unemployment rate in Croatia in the first quarter of 2019. The obtained conclusions are equal to the conclusions obtained in the usual way by using forecasting software.https://doi.org/10.2478/crebss-2019-0010forecasting unemployment ratemathematical inequalityquadratic trendsingle-variable quadratic functionturning point (vertex)c22c61e24e27
spellingShingle Kojić Vedran
Škrinjarić Tihana
A note on the turning point for the quadratic trend
Croatian Review of Economic, Business and Social Statistics
forecasting unemployment rate
mathematical inequality
quadratic trend
single-variable quadratic function
turning point (vertex)
c22
c61
e24
e27
title A note on the turning point for the quadratic trend
title_full A note on the turning point for the quadratic trend
title_fullStr A note on the turning point for the quadratic trend
title_full_unstemmed A note on the turning point for the quadratic trend
title_short A note on the turning point for the quadratic trend
title_sort note on the turning point for the quadratic trend
topic forecasting unemployment rate
mathematical inequality
quadratic trend
single-variable quadratic function
turning point (vertex)
c22
c61
e24
e27
url https://doi.org/10.2478/crebss-2019-0010
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