Sentences with phrase «means uncorrelated»
The word «random» as used in science does not mean uncaused, unplanned, or inexplicable; it means uncorrelated.
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That means, according to Beardsley, that only investment managers who can deliver returns highly uncorrelated to their benchmarks will survive.
«Contrary to offsetting, which consists in handling carbon compensation in other places by uncorrelated people and means, the insetting includes the handling of carbon compensation into the commercial dynamics of the company» (PUR Projet).
Most diseases are either uncorrelated with cholesterol, or negatively correlated, meaning that mortality goes up as cholesterol goes down.
If that means buying bonds, moving to cash, going short, abandoning your home market, buying unusual, uncorrelated or even negatively correlated assets, whatever — well, ideally, that's exactly what they'll do.
A correlation of 1 means two assets move in perfect lockstep, a correlation of -1 means they move in opposite directions, and a figure of zero means they are uncorrelated.
That means it's entirely possible for a low - beta company to be highly volatile — as long as its wild price swings are uncorrelated with the market, the stock could still have low beta.
Browne's solution was to divide a portfolio into four equal investments, each highly uncorrelated with the others (meaning they each «march to different drummers»).
The modification of all feedback parameters results in changes of the sum of all feedbacks (water vapour, cloud, lapse rate and albedo), spanning a minimum — maximum range of 71 % (63 %) of the mean value for the correlated (uncorrelated) ensemble.
Note the implicit swindle in this graph — by forming a mean and standard deviation over model projections and then using the mean as a «most likely» projection and the variance as representative of the range of the error, one is treating the differences between the models as if they are uncorrelated random variates causing > deviation around a true mean!.
«If the experimental errors are uncorrelated, have a mean of zero and a constant variance, the Gauss - Markov theorem states that the least - squares estimator has the minimum variance of all estimators that are linear combinations of the observations.