query: Standard error of a sum of estimates
positive_passages.docid: 18975
positive_passages.text: How to 'sum' a standard deviation?
negative_passages.docid: 64720
negative_passages.text: Expected value of sums
negative_passages.docid: 92725
negative_passages.text: Closed form for the variance of a sum of two estimates in logistic regression?
negative_passages.docid: 7740
negative_passages.text: The median minimizes the sum of absolute deviations (the $ {\ell}_{1} $ norm)
negative_passages.docid: 57850
negative_passages.text: Bounding an Error on the inverse.
negative_passages.docid: 4819
negative_passages.text: Marginalising over standard deviation of normal to get the posterior on mean
negative_passages.docid: 62360
negative_passages.text: Errors and Residuals
negative_passages.docid: 43942
negative_passages.text: $N(\theta,\theta)$: MLE for a Normal where mean=variance
negative_passages.docid: 77498
negative_passages.text: Standard error of regression coefficient without raw data
negative_passages.docid: 52903
negative_passages.text: Sum of squares of dependent Gaussian random variables
negative_passages.docid: 40160
negative_passages.text: asymmetric errors with exponential
negative_passages.docid: 111654
negative_passages.text: Moving-average model error terms
negative_passages.docid: 10079
negative_passages.text: Standard error of the median
negative_passages.docid: 91745
negative_passages.text: Can we calculate the standard error of prediction just based on simple linear regression output?
negative_passages.docid: 70564
negative_passages.text: What is meant by the standard error of a maximum likelihood estimate?
negative_passages.docid: 68269
negative_passages.text: Regression Proof that the point of averages (x,y) lies on the estimated regression line
negative_passages.docid: 54734
negative_passages.text: Standard error of the estimate in logistic regression