So, if you observe a random variable that looks you observe it for a while, maybe you get 100 observations, you probably can't tell it apart very well from a normal distribution.
If you don't have a complete data set, let's say you've got 100 observations, 100 observations, 100 observations, 25 observations, 100 observations, you may have a negative eigenvalue.
Now, times series, we usually want 100 observations.
So it's possible if some of your covariance measures have 25 observations and some of them have 100 observations that there's more error in some than in others.
If I only have 100 observations and I'm looking empirically at my tail, I've only got one observation out in the 1% tail.
The types of passengers were defined by Chalmers University of Technology in a previous work from 100 observations at bus stops and onboard buses in Gothenburg, Bremerhaven and Rome.
The prediction performance of the three primary maps and the two ensemble maps was compared with an independent validation dataset consisting on 100 observations from the French soil monitoring network.
At the end of the roll call – which includes more than 100 observations, from quirky notes on electricity ("Their wall outlets all have switches, some don't do anything") to sensible advice on alcohol ("Avoid British wine and French beer") – he ironically posts, "there are still no guns".
Results In total, 100 observations were scored.
Each data was the average of 100 observations.
We generated 100 observations of a Poisson process with an in-control rate of λ0=20.
