Statistical Tests of Symbolic Dynamics

A novel general method for constructing nonparametric hypotheses tests based on the field of symbolic analysis is introduced in this paper. Several existing tests based on symbolic entropy that have been used for testing central hypotheses in several branches of science (particularly in economics an...

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Main Authors: Fernando López, Mariano Matilla-García, Jesús Mur, Manuel Ruiz Marín
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/8/817
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author Fernando López
Mariano Matilla-García
Jesús Mur
Manuel Ruiz Marín
author_facet Fernando López
Mariano Matilla-García
Jesús Mur
Manuel Ruiz Marín
author_sort Fernando López
collection DOAJ
description A novel general method for constructing nonparametric hypotheses tests based on the field of symbolic analysis is introduced in this paper. Several existing tests based on symbolic entropy that have been used for testing central hypotheses in several branches of science (particularly in economics and statistics) are particular cases of this general approach. This family of symbolic tests uses few assumptions, which increases the general applicability of any symbolic-based test. Additionally, as a theoretical application of this method, we construct and put forward four new statistics to test for the null hypothesis of spatiotemporal independence. There are very few tests in the specialized literature in this regard. The new tests were evaluated with the mean of several Monte Carlo experiments. The results highlight the outstanding performance of the proposed test.
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spelling doaj.art-521e01d63393422ca283d8f38a2e98492023-11-21T14:49:44ZengMDPI AGMathematics2227-73902021-04-019881710.3390/math9080817Statistical Tests of Symbolic DynamicsFernando López0Mariano Matilla-García1Jesús Mur2Manuel Ruiz Marín3Departamento de Métodos Cuantitativos, Universidad Politécnica de Cartagena, 30202 Cartagena, SpainDepartamento de Economía Aplicada y Estadística, Universidad Nacional de Educación a Distancia (UNED), 28040 Madrid, SpainDepartamento de Análisis Económico, Universidad de Zaragoza, 50018 Zaragoza, SpainDepartamento de Métodos Cuantitativos, Universidad Politécnica de Cartagena, 30202 Cartagena, SpainA novel general method for constructing nonparametric hypotheses tests based on the field of symbolic analysis is introduced in this paper. Several existing tests based on symbolic entropy that have been used for testing central hypotheses in several branches of science (particularly in economics and statistics) are particular cases of this general approach. This family of symbolic tests uses few assumptions, which increases the general applicability of any symbolic-based test. Additionally, as a theoretical application of this method, we construct and put forward four new statistics to test for the null hypothesis of spatiotemporal independence. There are very few tests in the specialized literature in this regard. The new tests were evaluated with the mean of several Monte Carlo experiments. The results highlight the outstanding performance of the proposed test.https://www.mdpi.com/2227-7390/9/8/817symbolic dynamicstime series analysistest hypothesis
spellingShingle Fernando López
Mariano Matilla-García
Jesús Mur
Manuel Ruiz Marín
Statistical Tests of Symbolic Dynamics
Mathematics
symbolic dynamics
time series analysis
test hypothesis
title Statistical Tests of Symbolic Dynamics
title_full Statistical Tests of Symbolic Dynamics
title_fullStr Statistical Tests of Symbolic Dynamics
title_full_unstemmed Statistical Tests of Symbolic Dynamics
title_short Statistical Tests of Symbolic Dynamics
title_sort statistical tests of symbolic dynamics
topic symbolic dynamics
time series analysis
test hypothesis
url https://www.mdpi.com/2227-7390/9/8/817
work_keys_str_mv AT fernandolopez statisticaltestsofsymbolicdynamics
AT marianomatillagarcia statisticaltestsofsymbolicdynamics
AT jesusmur statisticaltestsofsymbolicdynamics
AT manuelruizmarin statisticaltestsofsymbolicdynamics