Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 238499

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 …
David's user avatar
  • 2,665
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
David's user avatar
  • 2,665
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 …
David's user avatar
  • 2,665