I recently added two covariates to a mark/variance components analysis (Burnham's method) that I'd otherwise completed about a month ago. After running the first covariate through the procedure, I noticed that MARK suggested an adjusted (not naive) sigma2 of 0.0011688, more about this estimate in a moment -- my procedure was,
(1) retrieve time-dependent (unconstrained base) model
(2) go to output > specific model output > variance components > real parameters
(3) select parameters #24-25.
(4) select 'user specified'
(5) enter covariate values into (single column) design matrix ... click ok.
I tried the second covariate, again sigma2 was exactly 0.0011688 -- that seemed unbelievable ... so I re-ran the variance components procedure a few more times using other covariates (that I'd run in the past) and each time sigma2 = 0.0011688. Recall the variance procedure provides an option to graph some of the results, here's an example from one of the covariates that gave a sigma2 of 0.0011688,
https://www.box.com/s/f75d63a36c40874bbd34
Note the model estimates (red line), I thought this might be helpful/an important insight.
Subsequently, I've updated MARK to the latest version available on phidot. On the first run with the updated software MARK gave sigma = 0.0012586, on the second run 0.0011688 ... and all subsequent runs 0.0011688.
Prior to posting I searched this and the 'analysis' forum and no one seems to have encountered this before, With so many recent improvements to MARK I wonder if I might have stumbled on a bug...
Thanks for any assistance ... send me an email and I'll forward my MARK files and covariate values.
andre