marked by free, forthright, and sincere expression
Human. Scientist. Skeptic.

20th October 2014

Photo reblogged from Skeptipunk with 3 notes

skeptipunk:

More magnets

skeptipunk:

More magnets

19th October 2014

Photo reblogged from Skeptipunk with 1,315,449 notes

science-gifs:

operation of a 7-pin lock

science-gifs:

operation of a 7-pin lock

Source: onlylolgifs

18th October 2014

Photo reblogged from All Things 90s with 937 notes

17th October 2014

Photo reblogged from Skeptical Avenger with 160 notes

skepticalavenger:

And as I said before, the Republican party has become the new Libertarian party.

skepticalavenger:

And as I said before, the Republican party has become the new Libertarian party.

16th October 2014

Photo reblogged from Curiosa Mathematica with 130 notes

curiosamathematica:

Estimators are rules for calculating an estimate of a given quantity based on observed data. For instance, a sample mean can be used as an estimator for the population mean, but there exists far more complicated examples as well. Estimators are crucial tools in statistics because they allow to deduce population information from only a limited number of samples.
Some words of caution, though. Some estimators are biased: the estimator’s expected value differs from the true value of the parameter being estimated. Of course, the ideal estimator is therefore unbiased.
Precision is important as well. Estimators with high variance can return an estimate missing the true parameter by a mile. So, if we define an estimator’s precision as the reciprocal of its variance, a high precision implies that practical results are close to the estimator’s expected value (which can still be biased, however).
Albeit subtle in practice, the best estimators should be unbiased and have high precision, in theory.

curiosamathematica:

Estimators are rules for calculating an estimate of a given quantity based on observed data. For instance, a sample mean can be used as an estimator for the population mean, but there exists far more complicated examples as well. Estimators are crucial tools in statistics because they allow to deduce population information from only a limited number of samples.

Some words of caution, though. Some estimators are biased: the estimator’s expected value differs from the true value of the parameter being estimated. Of course, the ideal estimator is therefore unbiased.

Precision is important as well. Estimators with high variance can return an estimate missing the true parameter by a mile. So, if we define an estimator’s precision as the reciprocal of its variance, a high precision implies that practical results are close to the estimator’s expected value (which can still be biased, however).

Albeit subtle in practice, the best estimators should be unbiased and have high precision, in theory.

15th October 2014

Photo reblogged from All Things 90s with 63,691 notes

Source: colo-r-coated

14th October 2014

Photoset reblogged from Nymph with 127 notes

generic-art:

illustrations by Virgil Finlay

Source: generic-art

13th October 2014

Photo reblogged from How to embrace a swamp creature with 7,897 notes

Source: 11200

12th October 2014

Photo reblogged from All Things 90s with 58,869 notes

Source: ruinedchildhood

11th October 2014

Photo reblogged from All Things 90s with 2,918 notes