Uniform error what does it mean?

AI Thread Summary
The term "uniform error" refers to an error term that remains consistent across certain conditions, suggesting that errors do not vary significantly. This concept is often associated with "uniform error estimates," which imply that errors are distributed uniformly within a specified range. The discussion highlights confusion regarding the practical implications of drawing errors from a uniform distribution, particularly whether it means all errors within that range are equally probable. Understanding this concept is crucial for interpreting statistical models and error analysis. Clarifying these definitions can enhance comprehension of uniform error in various contexts.
AxiomOfChoice
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"Uniform error"...what does it mean?

I'm reading a paper right now that talks about an error term being uniform under certain conditions. But what does it *mean* for an error term to be "uniform"? I have no idea.

Also, I recall having read some things about "uniform error estimates." Is this a similar notion?
 
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It means the error is drawn from a uniform distribution.
 


D H said:
It means the error is drawn from a uniform distribution.

Thanks for your response, but that really means very little to me. I'm familiar with the uniform distribution, but I can't immediately make sense of "drawing error" from it. Do you mean that all errors (within some range) are equally probable?
 


Uniform distribution may mean:
http://en.wikipedia.org/wiki/Uniform_distribution_(continuous )
 
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AxiomOfChoice said:
Thanks for your response, but that really means very little to me. I'm familiar with the uniform distribution, but I can't immediately make sense of "drawing error" from it. Do you mean that all errors (within some range) are equally probable?
Surely that would be my interpretation.
 
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