Acta Medica Okayama2008Studies on statistical modeling with bootstrap and information criteriaENMasaoUekiNo potential conflict of interest relevant to this article was reported.岡山大学環境理工学部Acta Medica Okayama1341-90991312008石垣島におけるマラリア流行解析のための統計モデリング715ENMasaoUekiYuukiNakagawaKaoruFuedaHirofumiIshikawaIt is necessary to consider a stochastic variability in modeling malaria epidemic behavior since the malaria infection cycle essentially depends on stochastic elements. For this requirement, we need to construct an appropriate statistical model from available data in advance. In this report, we provide some statistical models for the analysis of malaria epidemic behavior at Ishigaki Island. These models can be used for recurrence of past malaria epidemic and prediction of future malaria epidemic at Ishigaki Island.No potential conflict of interest relevant to this article was reported.岡山大学環境理工学部Acta Medica Okayama1341-90991112006区間上のデータに対するカーネル密度推定法2730ENMasaoUekiKaoruFuedaIn the field of data analysis, including environmental data, it is important to know the shape of underlying density function. In this case, we often use histogram which provides an information about the board line of density's curve. However histogram can not be the best method when the true density function is continuous, as is often the cases. On the other hand, kernel density estimator is another popular one which gives a continuous function. In some practical cases, however, there is a case that some knowledges about the range of the data are previously given. For instance, data of percentage, such as mortality rate, only takes the values on [0,1]. This paper considers two different modifications in kernel density estimator for the data on known interval and compares them.No potential conflict of interest relevant to this article was reported.