The whole managed futures universe has performed so abysmally that you have to wonder
if regression to the mean is about to rescue some of the surviving funds.
Not exact matches
If that was the case, it's rare
to see such a violent
regression to the
mean.
This
means that you will be less likely
to see the sleep
regression, and in case you have experienced this, you could settle your infant
to sleep with hands - on suitable techniques
if still swaddled.
If a process is
meant to improve the integrity of the electoral process, judgments that shoot it down can not advance the cause of our development; it
means we have chosen a path of
regression to the era where elections are decided by unsavory self - help in bloating the voter register with strange names on the part of politicians.
If there were no difference between the gains experienced by F schools and those among low - performing non-F schools, we might worry that
regression to the
mean was driving our results.
If we used «vehicles»
to move gravel from point A
to point B... and we calculated an effect size on vehicles... we suffer from «
regression towards the
mean»; the child's wagon will look more powerful than it is (a higher effect size) and the 5 ton truck will look worse (a lower effect size).
If mean reversion does occur in the years ahead, the
regression will begin
to show a strong relationship.
If there is a reliable and helpful principle at works in our markets, my choice would be the ones the statisticians call «
regression to the
mean».
Central tendency, or reversion (
regression)
to the
mean, says exactly you can subtract problems by adding them together and averaging them away,
if you do it competently.
If we have, indeed, only had polar ice for 20 % of the last 6 - million years (from Ian Plimer), then
regression -
to - the -
mean dictates betting on «up» would likely yield better odds at times when we have ice caps
to ponder.
If you want
to know the sapmpling distribution of your
regression coefficients, it's vital that you take into account the variation about the ensemble
mean.