In this paper we use the “Recurrence Quantification Analysis ” proposed by Zbilut and Webber (1992), to develop three test procedures that allow us to detect determinism underlying series. Based on the concept of “Percent of Determinism ” we obtain three statistics that allow us to test for the null hypothesis of randomness. The results of the application of these procedures to a set of simulated and real series reveal good behaviour in a wide variety of situations, including different sample sizes and series affected by noise
International audienceOver the past decades, recurrence plot analysis has become a popular tool for ...
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In...
So-called Random number generators on computers are deterministic functions producing a sequence of ...
In this paper we use the "Recurrence Quantification Analysis" proposed by Zbilut and Webber [Zbilut,...
Complex systems are characterized by deterministic laws (which often may be hidden) and randomness. ...
Recurrence plots have been widely used for a variety of purposes such as analyzing dy-namical system...
We review a relatively new statistical test that may be applied to determine whether an observed tim...
We propose in this paper a test procedure to determine whether two series proceed from inde-pendent ...
Abstract. The recurrence rate and determinism are two of the basic complexity measures studied in th...
Abstract—We review a relatively new statistical test that may be applied to determine whether an obs...
This paper deals with the distinction between white noise and deterministic chaos in multivariate no...
The purpose of this paper is to explain the importance of randomness in data analysis. We point out ...
RESUMEN: En la literatura de series de tiempo se encuentran diferentes procedimientos para probar la...
AbstractA fundamental question of data analysis is how to distinguish noise corrupted deterministic ...
The nonlinearly scaled distributions of the strengths of the orthogonal modes in the data of a time ...
International audienceOver the past decades, recurrence plot analysis has become a popular tool for ...
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In...
So-called Random number generators on computers are deterministic functions producing a sequence of ...
In this paper we use the "Recurrence Quantification Analysis" proposed by Zbilut and Webber [Zbilut,...
Complex systems are characterized by deterministic laws (which often may be hidden) and randomness. ...
Recurrence plots have been widely used for a variety of purposes such as analyzing dy-namical system...
We review a relatively new statistical test that may be applied to determine whether an observed tim...
We propose in this paper a test procedure to determine whether two series proceed from inde-pendent ...
Abstract. The recurrence rate and determinism are two of the basic complexity measures studied in th...
Abstract—We review a relatively new statistical test that may be applied to determine whether an obs...
This paper deals with the distinction between white noise and deterministic chaos in multivariate no...
The purpose of this paper is to explain the importance of randomness in data analysis. We point out ...
RESUMEN: En la literatura de series de tiempo se encuentran diferentes procedimientos para probar la...
AbstractA fundamental question of data analysis is how to distinguish noise corrupted deterministic ...
The nonlinearly scaled distributions of the strengths of the orthogonal modes in the data of a time ...
International audienceOver the past decades, recurrence plot analysis has become a popular tool for ...
Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In...
So-called Random number generators on computers are deterministic functions producing a sequence of ...