Abstract
In this article the serial dependences between the observed time series and the lagged series, taken into account one-by-one, are graphically analysed 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 autodependogram is based on the simple idea of using, instead of autocorrelations at varying time lags, the χ 2-test statistics applied to convenient contingency tables. The efficacy of this graphical device is confirmed by real and artificial time series and by simulations from certain classes of well-known models, characterized by randomness and by different kinds of linear and nonlinear dependences.
Original language | English |
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Pages (from-to) | 233-254 |
Number of pages | 22 |
Journal | Journal of Time Series Analysis |
Volume | 33 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Mar 2012 |
Keywords
- χ-plot
- χ -test
- Autocorrelogram
- Nonlinear time series
- Serial dependences
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics