standard error of the estimate

standard error of the estimate

[¦stan·dərd ¦er·ər əvthē ′es·tə·mət]
(statistics)
Standard deviation of observed values about the regression line; computed by dividing the unexplained variation or the error sum of squares by its degrees of freedom.
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The standard error of the estimate is a measure of the variation among the estimates from all possible samples and is used to measure the precision with which an estimate from a particular sample approximates the average result of the possible samples.
While the overall mean might or might not be biased by this approach, the estimated standard error of the estimate is too small.
The adjusted coefficient of determination, the standard error of the estimate, as well as the coefficients of regression for the volumetric models with and without irrigation are shown in Table 3.
Table A1 in the Appendix presents the official rate of (monthly, YoY and 12-month average) inflation and the estimated rate of (monthly, YoY and 12-month average) inflation based on the stochastic approach along with standard error of the estimate of inflation for Pakistan economy based on the data for July 2001 to June 2010.
Standard error of the estimate is calculated over the estimation period from -210 to -60 days.
Nevertheless, the use of an equation in this form results in an unbiased estimate of the criterion from the practical, and the resulting standard error of the estimate is also an unbiased estimate of the random error in the prediction.
A measure of the variability of the cost data in the regression analysis is called the standard error of the estimate.
In Figure 1B, the sample standard deviation in [beta] as a function of the concurvity coefficient is in contrast to the S-Plus estimate of the standard deviation of [beta], and indicates that the true (empirical) standard error of the estimate of [beta] increases substantially with increasing concurvity, whereas the estimated standard error produced by the S-Plus gam function is increased by comparatively little.
Standard error of the estimate of the lower tolerance limit was 4.
Raiche (2000) has suggested that it is possible to reduce the bias, and even the standard error of the estimate, by applying to each provisional estimation one of a combination of these strategies: (1) the adaptive correction for bias proposed by R.
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