6 сент. 2023 г. · The accuarcy is (most often) the difference between the average value and the true value. Thus, it is nowadays often called bias.

19 апр. 2018 г. · Random errors are never Gaussian. All statistical models are wrong but some are useful. Modeling errors as Gaussian is more often than not useful.

29 окт. 2015 г. · One can prove mathematically that the distribution of the sum of many independent statistical processes is almost always a normal distribution.

5 июн. 2018 г. · A gaussian does not account well for errors that are human-caused, like truncation errors, aliasing errors due to improper sampling.

9 мар. 2017 г. · The error in measurement is to be interpreted as the standard deviation of the distribution. The full distribution may be taken as Poisson or Exponential of ...

9 апр. 2012 г. · If both the systematic and statistical error are distributted via the Gaussian distribution, so is the total error.

26 июл. 2022 г. · This is a case in which the standard statistical tool of Gaussian error propagation fails. When you write a measured quantity as quantity=value±error this is ...

27 окт. 2016 г. · This works for any factor of the Gaussian sigma. If your error is really a 2 or 3-sigma error then your final combined error would also be a 2- ...

20 авг. 2022 г. · The standard deviation of the average value is s/ √ N =... -- this is often called standard error, or standard error of the mean.

12 нояб. 2017 г. · When performing N independent measurements following a Gaussian distribution, it is sometimes said to report the mean and the standard ...