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Refers to the standard deviation of the sampling distribution of a statistic calculated from a sample. Standard errors are often required when forming confidence intervals or testing hypotheses about the population from which the statistic was sampled.

4 votes

Standard error of the residuals for a non-linear model

It appears that you're using nls. By typing ?summary.nls you can read about the output. Estimates and standard errors are estimated by the Gauss-Newton algorithm (if the nls defaults are used) …
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5 votes
2 answers
3k views

Standard errors of regression coefficients based on sample size

For any particular nonlinear regression: $$Y_i = f(\mathbb{x_i},\theta) + \epsilon_i, i=1,...,n$$ I currently have standard errors for each of the $\theta_j$ obtained via the Gauss-Newton algorithm I …
sqrt's user avatar
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