A kernel smoother is a statistical technique to estimate a real valued function\({\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} }\) as the weighted average of neighboring observed data.
Answer
[default - edit me]
Question
A kernel smoother is a statistical technique to estimate a real valued function\({\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} }\) as the weighted average of neighboring observed data.
Answer
?
Question
A kernel smoother is a statistical technique to estimate a real valued function\({\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} }\) as the weighted average of neighboring observed data.
Answer
[default - edit me]
If you want to change selection, open document below and click on "Move attachment"
Kernel smoother - Wikipedia Kernel smoother - Wikipedia Kernel smoother From Wikipedia, the free encyclopedia Jump to navigation Jump to search For broader coverage of this topic, see Kernel (statistics) . A kernel smoother is a statistical technique to estimate a real valued function f : R p → R {\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} } as the weighted average of neighboring observed data. The weight is defined by the kernel, such that closer points are given higher weights. The estimated function is smooth, and the level of smoothness is set by a single parameter. This t
Summary
status
not learned
measured difficulty
37% [default]
last interval [days]
repetition number in this series
0
memorised on
scheduled repetition
scheduled repetition interval
last repetition or drill
Details
No repetitions
Discussion
Do you want to join discussion? Click here to log in or create user.