Sentences with phrase «error distribution»

Have these ever been used as error distributions in the scientific literature?

That is the thing to compare against the observed forecast error distribution after day zero.

However the basic idea you have is a sound one, in principle, because one can use the estimated sampling error of the estimated quantities to construct an expected forecast error distribution.

Two questions (7 and 6d) were excluded from the factor analysis due to low communality values, and these were also analysed separately using generalized linear model with binomial error distribution.

The fixed effects of the proportion of rainbow trout admixture, sex, fish length (covariates) and spawning year (random effect) on reproductive success (response variable) were evaluated using generalized linear mixed models (GLMMs) using a natural log - link function with a quasi-Poisson error distribution (see the electronic supplementary material).

Jeffreys» prior, which in effect converts length elements in 14C space to length elements in calendar age space, may convert single length elements in 14C space to multiple length elements in calendar age space when the same 14C age corresponds to multiple calendar ages, thus over-representing in the posterior distribution the affected parts of the 14C error distribution probability.

Where a data — parameter relationship is linear and the data error distribution is independent of the parameter value, that conversion factor will be fixed, leading to Jeffreys» prior being uniform.

If we assume a uniform prior distribution in S (and stay with the OLS regression method), what is the set E of error distributions such that for any D member of E, one could modify the statement of yours I quoted above to state:

These GEE - GLMs were conducted with the «logit» link and a binomial error distribution.

This interval is similar to a one - sigma (i.e., one standard deviation) normal error distribution, but it was explicitly noted that the probability distribution outside this interval was not evaluated and might not have a normal distribution.

But you do still need to let the evidence build up to get to the truth, and one single radiocarbon measurement with a broad error distribution is not a lot to draw conclusions from.

The possible association of personality traits with TC behaviour was investigated using a generalized linear model with a binomial error distribution (PROC GENMOD) in SAS.

Questions 9 — 11 were analysed in a separate analysis using a generalized linear model with a binomial error distribution.

Doc, I appreciate what you suggest, but if the model contains quantities that must be estimated from the data prior to day zero, those quantities will contain sampling error, and for that reason alone the forecast error distribution after day zero (out - of - sample fit) must have a higher expected variance than the backcast error distribution before day zero (in - sample fit).

It remains essential for researchers to go beyond statistical summaries and to present and interpret visualizations of the errors and error distributions to allow for a full and accurate assessment of model performance.

Suppose I make a measurement with a Gaussian error distribution, measurement mean = 500 and SD = 100.

As a final remark on our interval method we would like to discuss its relation to a more formal procedure that would independently sample («IS - scheme») the error distribution of the paleo - constraint and the error distribution of the fit (the latter generated from the deviation of the uncorrelated ensemble from the fit).

The problems with ECS distributions most often involve use of inappropriate prior distributions, so that the ECS distribution obtained does not properly reflect the error distributions of the underlying data.