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Binomial-proportion Fisher scoring
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0
)
...
Probability and statistics
Statistical model
Statistical modelling
Informant function
Fisher information matrix
Scoring algorithm
Created
2026-09-24
Updated
2026-10-14
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For
Y
=
n
−
1
Bin
(
n
,
p
)
, the score and
information
are
S
(
p
)
=
p
(
1
−
p
)
n
(
Y
−
p
)
,
I
(
p
)
=
p
(
1
−
p
)
n
.
(1)
Consequently one Fisher-scoring step sends every interior starting value directly to the MLE
p
=
Y
.
Ancestors
(9)
Scoring algorithm
Fisher information matrix
Informant function
Statistical modelling
Statistical model
Probability and statistics
Area of mathematics
Mathematics
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Past exam of the mathematics course of the University of Cambridge
/
2024
/
ii
/
Paper 2
/
5L
/
Solution
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