著者 植木 優夫|
発行日 2008-03-25
出版物タイトル
資料タイプ 学位論文
JaLCDOI 10.18926/fest/12816
タイトル(別表記) Statistical modeling for analysis of malaria epidemic behavior at Ishigaki Island
フルテキストURL 13_007_015.pdf
著者 植木 優夫| 中川 祐希| 笛田 薫| 石川 洋文|
抄録 It 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.
キーワード Anopheles minimus, generalized liner model Ishigaki Island malaria epidemic behavior prediction stochastic model
出版物タイトル 岡山大学環境理工学部研究報告
発行日 2008-03
13巻
1号
開始ページ 7
終了ページ 15
ISSN 1341-9099
言語 Japanese
論文のバージョン publisher
NAID 120002304876
JaLCDOI 10.18926/fest/11427
タイトル(別表記) Kernel density estimation on the interval
フルテキストURL 011_027_030.pdf
著者 植木 優夫| 笛田 薫|
抄録 In 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.
キーワード kernel density estimator adaptive bandwidth data on finite interval
出版物タイトル 岡山大学環境理工学部研究報告
発行日 2006-03-15
11巻
1号
開始ページ 27
終了ページ 30
ISSN 1341-9099
言語 Japanese
論文のバージョン publisher
NAID 120002313832