May 17, 2023 · I am familiar with computing the autocorrelation function of a time series as a function of time lag, but I am not sure what it means for a time series to itself be autocorrelated.

You don't need to test for autocorrelation. It is there. The plot shows that. You could look at the autocorrelation function of these residuals (function acf()), but this will simply confirm what can be …

Apr 19, 2023 · The help info says you can have residual spatial autocorrelation even if the model takes care of it. I added the command rotation="estimated" during the recalculation and the autocorrelation …

Jan 24, 2022 · When creating a mixed model (or GLS) with spatiotemporal data, you can include correlation structure into your model to address autocorrelation. Spatial autocorrelation can be …

Jul 7, 2020 · I disagree that autocorrelation and random intercept are redundant. The random intercept would be a difference in mean for that group (e.g., whale) compared to the whole population, which …

Nov 11, 2015 · very easy to follow and helpful for a first timer like me to test for autocorrelation. I have found autocorrelation occuring in some of my linear regression models, but I haven't got such a …

Aug 19, 2015 · What is the relationship between autocorrelation and non-stationary? Is it true that non-zero autocorrelation $\\implies$ non-stationary, but not vice versa?

Apr 10, 2013 · I was wondering what does it mean when time series residuals have autocorrelation? How should I deal with it?

So why is autocorrelation a bad (or good) thing? 2.) The solution I've heard for dealing with autocorrelation is to diff the time series. Without trying to read the author's mind, why would one not …

Jul 7, 2020 · I tried first to apply a linear mixed model (lme) and I had a problem of autocorrelation and non-normality of residuals. Next, I tried to apply a GLM with Poisson and negative binomial …