To minimize the sum of squared prediction mistakes, take its derivative and set it to zero: d dm a n i = 1 (Y i - m) 2 = - 2 a n i = 1 (Y i - m) = - 2 a n i = 1 Y i + 2nm = 0. (3.27) Solving for the final equation for m shows that g n i = 1 (Y i - m) 2 is minimized when m = Y
If you want to change selection, open document below and click on "Move attachment"
pdf
owner:
galahado - (no access) - Introduction_to_Econometrics,Update,3e.pdf, p152
Summary
status | not read | | reprioritisations | |
---|
last reprioritisation on | | | suggested re-reading day | |
---|
started reading on | | | finished reading on | |
---|
Details