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The error of an estimate or prediction is its deviation from the true value, which may be unobservable (e.g., regression parameters), or observable (e.g., future realizations). Use the [error-message] tag to ask about software errors.
0
votes
How do I measure the statistical significance of a boolean value?
You are working with a binomial distribution. Its variance for a sample of n observations with a "p" chance of getting a "true result" is np(1-p)
Therefore its standard deviation will be the square r …
3
votes
If you minimize RSS, does that minimize MSE?
MSE is just RSS divided by the sample size, so, for a given sample, anything that optimizes one of them will also optimize the other
2
votes
Why Normality assumption in linear regression
When working with those hypothesis, squared-erros based regression and maximum likelihood provide you the same solution. You are also capable of getting simple F-tests for coefficient significance, as …