autocorrelation
1
8.6
- noun
- /ˌɔːtəʊˌkɔːrəˈleɪʃən/
- Specialized
:
autocorrelación
- The analyst found that the autocorrelation of the series indicated a strong relationship between time points.
- spatial autocorrelation
- autocorrelation detection
- autocorrelation correction
Examples
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Moran's I indexes collected from papers published in real estate journals show a significantly lower spatial autocorrelation detection.
Academic text (2016) -
First, the detection of spatial autocorrelation (the Moran's Index) can be affected.
Academic text (2016) -
However, they are higher than all of the other studies after correction for autocorrelation.
Academic text (2000) -
Robust standard errors were used to correct for possible autocorrelation within community district areas.
Academic text (2011) -
Since the initial static models suffered from severe first-order autocorrelation, we implemented two solutions.
Academic text (2000) -
Various approaches are proposed to capture the spatial autocorrelation for unrepeated spatial data collected over time.
Academic text (2016) -
Consequently, a strong part of residual autocorrelation is due to the influence of neighboring dependent variable values.
Academic text (2016) -
Overall, the conclusions outlined a distinct behavior of autocorrelation processes depending on the lagged variable type.
Academic text (2016) -
GEE is an extension of the general linear model and accommodates repeated measures by controlling for autocorrelation.
Academic text (2006) -
We find that the temporal span of the dataset significantly influences the autocorrelation detection statistics, but not the lagged error parameters.
Academic text (2016)
Surface Forms
Morphology
autocorrelation = correlation (semi-transparent) = auto + correl + ation
The prefix auto- clearly contributes the sense of 'self', but the result is a technical statistical term whose full meaning is not fully predictable for an average B1 learner.
Etymology
The word autocorrelation comes from auto- meaning 'self', as in automatic, and correlation meaning 'connection'. Think of it like an echo: the data is compared with itself at different times to find repeating patterns, so high autocorrelation means the values are closely related to their own past.