In this paper the serial dependences between the observed time series and the lagged series, taken into account one-by-one, are graphically ana-lyzed by what we have chosen to call the “autodependogram”. This tool, is a sort of natural nonlinear counterpart of the well-known autocorrelogram used in the linear context. The simple idea, instead of using autocorrelations at varying time lags, exploits the χ2-test statistics applied to convenient con-tingency tables. The usefulness of this graphical device is confirmed by simulations from certain classes of well-known models, characterized by randomness and also by different kinds of linear and nonlinear dependences. The autodependogram is also applied to both environmental and economic real da...
Both the simulated white-noise (top left panel) and pink-noise (bottom left panel) time series conta...
In the first part of the study, nine estimators of the first-order autoregressive parameter are revi...
When studying a real-life time series, it is frequently reasonable to assume, possibly after a suita...
In this article the serial dependences between the observed time series and the lagged series, taken...
The autodependogram is a graphical device recently proposed in the literature to analyze autodepende...
The autodependogram is a graphical device recently proposed in the literature to analyze autodepende...
Detecting and measuring lag-dependencies is very important in time-series analysis. This study is co...
The autodependogram is a graphical device recently proposed in the literature to analyze autodepende...
In this chapter the autodependogram is contextualized in model diagnostic checking for nonlinear mod...
Here we present a novel approach to the description of the lagged interdependence structure of stati...
Analysis of economic time series often involves correlograms and partial correlograms as graphical d...
The aim of the paper is to try to measure, through a Monte Carlo experiment, nonlinearity in time se...
<p>An estimation of the cycle duration is provided by the lag associated with positive peaks, or twi...
Autocorrelation function (C1) or autoregressive model parameters are often estimated for temporal an...
In the classical linear regression model we assume that successive values of the disturbance term ar...
Both the simulated white-noise (top left panel) and pink-noise (bottom left panel) time series conta...
In the first part of the study, nine estimators of the first-order autoregressive parameter are revi...
When studying a real-life time series, it is frequently reasonable to assume, possibly after a suita...
In this article the serial dependences between the observed time series and the lagged series, taken...
The autodependogram is a graphical device recently proposed in the literature to analyze autodepende...
The autodependogram is a graphical device recently proposed in the literature to analyze autodepende...
Detecting and measuring lag-dependencies is very important in time-series analysis. This study is co...
The autodependogram is a graphical device recently proposed in the literature to analyze autodepende...
In this chapter the autodependogram is contextualized in model diagnostic checking for nonlinear mod...
Here we present a novel approach to the description of the lagged interdependence structure of stati...
Analysis of economic time series often involves correlograms and partial correlograms as graphical d...
The aim of the paper is to try to measure, through a Monte Carlo experiment, nonlinearity in time se...
<p>An estimation of the cycle duration is provided by the lag associated with positive peaks, or twi...
Autocorrelation function (C1) or autoregressive model parameters are often estimated for temporal an...
In the classical linear regression model we assume that successive values of the disturbance term ar...
Both the simulated white-noise (top left panel) and pink-noise (bottom left panel) time series conta...
In the first part of the study, nine estimators of the first-order autoregressive parameter are revi...
When studying a real-life time series, it is frequently reasonable to assume, possibly after a suita...