2019
DOI: 10.9734/jamcs/2019/v34i230212
|View full text |Cite
|
Sign up to set email alerts
|

Testing the Fairness of a Coin by Akaike's Information Criterion

Abstract: In this paper, AIC (Akaike's Information Criterion) is used to judge whether a coin is biased or not using the sequence of heads and tails produced by tossing the coin several times. It is well known that AIC·(−0:5) is an efficient estimator of the expected log-likelihood when the true distribution is contained in a specified parametric model. In the coin tossing problem, however, AIC·(−0:5) works as an efficient estimator even if the true distribution is not contained in a specied parametric model. Moreover, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 12 publications
(17 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?