竹澤, 邦夫

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

Kunio Takezawa, タケザワ, クニオ & 竹澤, 邦夫 · Journal of Advances in Mathematics and Computer Science · 2019

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 th...

Open access Research Article 10.9734/jamcs/2019/v34i230212

Parametric Bootstrapping Predictive Estimator for Logistic Regression

Kunio Takezawa, タケザワ, クニオ & 竹澤, 邦夫 · Journal of Advances in Mathematics and Computer Science · 2019

This paper proposes a method for constructing a predictive estimator for logistic regression. We make a provisional assumption that the predictive estimator is given by multiplying the maximum likelihood estimators by constants, which are estimated using a parametric bootstrap me...

Open access Research Article 10.9734/jamcs/2019/v32i530154