In this case, Schmidt Kalman is a robust way to not try and estimate the value of the bias, but only keep track of the effect of the bias on the true error distribution.
12.
Otherwise, one method you can use is to replace each data point in your data set by K copies, each of which is randomly perturbed by X and Y amounts having the known error distribution for that point.
13.
His research includes ( 1 ) the study of models for the distribution of income and of stock returns and ( 2 ) partially adaptive estimators of various econometric models which are robust to many types of misspecification of the error distribution.
14.
No such detector exists, of course, and in a real experiment much more sophisticated procedures are actually used to account for those effects; position dependent acceptance and efficiency; non-Gaussian error distributions; non negligible and variable event-dependent backgrounds.
15.
An example is for those aircraft that account for the FTE based on a fixed error distribution : for such systems, if the FTE grows large, no alert is issued by the system even when the TSE is many times larger than the accuracy value.
16.
However it has since been argued that this is dependent on the model's assumptions about the error distributions ( Ogwang 2004 ) and the independence of error terms ( Reza & Gastwirth 2006 ) and that these assumptions are often not valid for real data sets.
17.
Here " best " in the sense that they minimized the asymptotic variance and thus both minimized the expected absolute value of the error, and maximized the probability that the estimate would lie in any symmetric interval about the unknown coefficient, no matter what the error distribution.
18.
:Assuming that the application of physics is correct ( I don't understand the " experimental " set-up ), and that the measurements are subject to about the same ( normal ) error distribution with ? = 0, the method of least squares is applicable and appropriate.
19.
He carried out the fundamental control of the Cambridge professor H . Jeffreys conclusions about the nonclassical form of the errors distribution law for the sample of the volume more than 500 observations, which confirmed the rightness of the Jeffreys conception about correspondence of the VII type Pearson s distribution real errors.
20.
As it happens, the error distributions we usually consider ( e . g . logistic distribution, standard normal distribution, standard Student's t-distribution, etc . ) are symmetric about 0, and hence the distribution over " e n " is identical to the distribution over " ? n ".
