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Web Science/Part2: Emerging Web Properties/Advanced statistical descriptive models for the Web/Fitting a curve on a log log plot/quiz
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From Wikiversity
<
Web Science
|
Part2: Emerging Web Properties
|
Advanced statistical descriptive models for the Web
|
Fitting a curve on a log log plot
1
supose we have
f
=
s
i
n
(
x
)
{\displaystyle f=sin(x)}
. What is the value of
|
|
f
(
x
)
|
|
∞
{\displaystyle ||f(x)||_{\infty }}
-1
0
1
π
{\displaystyle \pi }
2
π
{\displaystyle 2\pi }
2
supose we have
f
:
[
0
,
6
]
⟶
R
{\displaystyle f:[0,6]\longrightarrow \mathbb {R} }
with
f
(
x
)
=
x
{\displaystyle f(x)=x}
. What is the value of
|
|
f
(
x
)
|
|
∞
{\displaystyle ||f(x)||_{\infty }}
x
1
6
12
18
3
supose we have
f
:
[
0
,
6
]
⟶
R
{\displaystyle f:[0,6]\longrightarrow \mathbb {R} }
with
f
(
x
)
=
x
{\displaystyle f(x)=x}
. What is the value of
|
|
f
(
x
)
|
|
1
{\displaystyle ||f(x)||_{1}}
x
1
6
12
18
4
What is true about the Kolmogorov-Smirnov Test
It is often used to fit a curve
It must be used to fit a curve
it uses the uniform norm of the curve and observed data
it uses the uniform norm on the CDF of the curve and the CDF of the observed data
it uses the L1-norm on the CDF of the curve and the CDF of the observed data
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Web Science/Part2: Emerging Web Properties/Advanced statistical descriptive models for the Web/Fitting a curve on a log log plot/quiz
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