How can I remove autocorrelation from this data?
One idea I had for an approach was to get rid of the lag 1 autocorrelation first, and then to see if average accuracy improves, and then try to get rid of the lag 2 autocorrelation. I thought maybe I could just throw out every second data point, and then naturally autocorrelation would reduce.
How to check and control for autocorrelation in a mixed model?
For the second question, keep in mind I will be analyzing the effect of time on behavior using mixed models in R (since there are random effects such as pseudo-replication), but I have not found any straightforward method of correcting for autocorrelation in the data when modeling the responses.
How to correct for autocorrelation and serial correlation?
Based on the regression analysis output, the Durbin-Watson is about 3.1 meaning that the data has auto-correlation problem. I need guidance on how this problem can be fixed.
How to deal with auto-correlation problems in multiple variables?
Another approach is to center the variables which can be done by computing the mean of each independent variable and then replacing each value with the difference between it and the mean.
Why is autocorrelation a problem in a regression analysis?
Autocorrelation can cause problems in conventional analyses (such as ordinary least squares regression) that assume independence of observations. In a regression analysis, autocorrelation of the regression residuals can also occur if the model is incorrectly specified.
How to detect and remove temporal autocorrelation in…?
Although it has long been a major concern in time series models, however, in-depth treatments of temporal autocorrelation in modeling vehicle crash data are lacking. This paper presents several test statistics to detect the amount of temporal autocorrelation and its level of significance in crash data.
Which is the best Test to detect autocorrelation?
How to Detect Autocorrelation A common method of testing for autocorrelation is the Durbin-Watson test. Statistical software such as SPSS may include the option of running the Durbin-Watson test when conducting a regression analysis. The Durbin-Watson tests produces a test statistic that ranges from 0 to 4.