discussion -no words requirment
Ordinary Least-Squares
Ordinary Least-Squares
Ordinary Least-Squares
Ordinary Least-Squares
Ordinary Least-Squares
One-dimensional regression
x
y
Ordinary Least-Squares
One-dimensional regression
y = ax
Find a line that represent the ”best” linear relationship:
x
y
Ordinary Least-Squares
One-dimensional regression
iiie = y - x a
• Problem: the data does not go through a line
iiy - x a
x
y
Ordinary Least-Squares
One-dimensional regression
iiie = y - x a
• Problem: the data does not go through a line
• Find the line that minimizes the sum:
i iiå(y - x a)2
iiy - x a
x
y
Ordinary Least-Squares
One-dimensional regression
x̂
iiie = y - x a
i i = å(y -x a )2e(a)
• Problem: the data does not go through a line
• Find the line that minimizes the sum:
• We are looking for that minimizes
i iiå(y - x a)2
iiy - x a
x
y
Ordinary Least-Squares
Multidimentional linear regression
Using a model with m parameters
å= j
jjmm xay = x a + ...+ x a11
Ordinary Least-Squares
Multidimentional linear regression
Using a model with m parameters
2x
å= j
jjmm xay = a x + ...+ a x11
1 x
y
Ordinary Least-Squares
Multidimentional linear regression
Using a model with m parameters
2a
å=++= j
jjmm xaxaxab ...11
1a
b
Ordinary Least-Squares
Multidimentional linear regression
Using a model with m parameters
and n measurements
å=+ j
jjmm xaxay = a x + ...11
2
2
1 ,
2
1 1 , )(
y
(a)
y - Ax=
ú û
ù ê ë
é -=
-=
å
å å
=
= =
m
j jji
n
i
m
j jjii
xa
xaye
Ordinary Least-Squares
Multidimentional linear regression
Using a model with m parameters
and n measurements
å=+ j
jjmm xaxay = a x + ...11
2
2
1 ,
2
1 1 , )(
(a)
y
(a)
y - Ax=
ú û
ù ê ë
é -=
-=
å
å å
=
= =
e
x a
x aye
m
j jji
n
i
m
j jjii
Ordinary Least-Squares
Minimizing e(a)
amin minimizes e(a) if
Ordinary Least-Squares
x
y
ei
no errors in ai
Ordinary Least-Squares
x
y
ei
x
y
ei
no errors in xi errors in xi
Ordinary Least-Squares
x
y
homogeneous errors
Ordinary Least-Squares
x
y
x
y
homogeneous errors non-homogeneous errors
Ordinary Least-Squares
x
y
no outliers
Ordinary Least-Squares
x
y
x
y
no outliers outliers
outliers