Sentences with phrase «on error variance»

This is because reliability depends on error variance relative to the variance in the value - added estimates.

Not exact matches

Additionally, we performed a Hidden Cookie Test to evaluate general olfaction and observed no difference between uninfected and infected animals (Uninfected, Type I -, and Type III - infected animals found the cookie on average within 96 ± 14, 109 ± 18, and 123 ± 31 seconds, respectively where variance indicates Standard Error of the Mean).
Our Gold Cert Coverage provides rescission relief from borrower misrepresentation, underwriting errors and material value variances on qualifying loans after 36 months, regardless of the submission method.
In addition to applying advanced statistical techniques, 7 asset managers and index providers often mitigate estimation errors — and address other minimum - variance implementation issues — by imposing constraints on the optimization process.
it seems to me that measurement error on the left side of the graph (the long interval) should have variance in error that reflects the residual error in each grid.
Interesting they both report albedo variances of 1 % which is also what Loeb reckons is the level of error on the satellites measurement.
By the way, although I have not read the paper, «variance corrected means» probably refers to some technique to obtain more accurate estimates of the means, the averages in the series, using information on the variance of the error of estimating these averages which would have varied from year to year.
Besides the 6.8 factor is said to be based on the «ratio of random error variances» and nothing else which is why I was looking for that specific term in section 5C.
His 1924 article «On a distribution yielding the error functions of several well known statistics» presented Karl Pearson's chi - squared and Student's t in the same framework as the Gaussian distribution, and his own «analysis of variance» distribution z (more commonly used today in the form of the F distribution).
Note by the way that MMH is ambiguous on the existence of modelling error: on the one hand they estimate separate, different b coefficients for the different models, on the other, estimate their variances from the temporal variations around those individual model trend lines only.
The other term is the variance of the estimation error in the regression parameters, and this varies in magnitude depending on the values of the proxies and also the degree of autocorrelation in the errors.
One factor loading on each construct was fixed to one, and the error variance of externalizing symptoms and anxiety symptoms and HbA1C were determined by the formula: Error = VAR (Y) * (1 — reliability)(Hayduk, 1error variance of externalizing symptoms and anxiety symptoms and HbA1C were determined by the formula: Error = VAR (Y) * (1 — reliability)(Hayduk, 1Error = VAR (Y) * (1 — reliability)(Hayduk, 1987).
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