start-ver=1.4
cd-journal=joma
no-vol=19
cd-vols=
no-issue=1
article-no=
start-page=1
end-page=7
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2014
dt-pub=201403
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Numerical Evaluation of the Approximation by an Influence Function
kn-title=影響関数による近似の数値評価
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=For evaluating statistical models one of the most effective criteria is cross-validation. But it
requires a large amount of computation. Various alternative schemes are considered to reduce
its computation. Modified generalized information criterion is one of those alternative schemes.
In this criterion an influence function is used to estimate the parameters of the models. By the
numerical simulation we studied the effect of an influence function.　
Surveying data of the lake depth are used as the sample data. We estimate the shape of
lake bottom as spline surface. The estimated parameters and the estimated depths obtained
by two criteria are compared and the effect of an information function is analysed.
en-copyright=
kn-copyright=

en-aut-name=BaoHong Mei
en-aut-sei=Bao
en-aut-mei=Hong Mei
kn-aut-name=包紅梅
kn-aut-sei=包
kn-aut-mei=紅梅
aut-affil-num=1
ORCID=

en-aut-name=FuedaKaoru
en-aut-sei=Fueda
en-aut-mei=Kaoru
kn-aut-name=笛田薫
kn-aut-sei=笛田
kn-aut-mei=薫
aut-affil-num=2
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学環境学研究科

affil-num=2
en-affil=
kn-affil=岡山大学環境生命科学研究科
en-keyword=influence function
kn-keyword=influence function
en-keyword=information criteria
kn-keyword=information criteria
en-keyword=CV
kn-keyword=CV
en-keyword=mGIC
kn-keyword=mGIC
en-keyword=B-spline
kn-keyword=B-spline
END

start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=1
article-no=
start-page=1
end-page=5
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2011
dt-pub=20110318
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Validation of Dollar cost averaging investment method
kn-title=ドルコスト平均法を用いた投資の有効性の検証
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=As a method of long term investment for private investor, the dollar cost averaging investment
method is well known and seems to reduce the purchase cost because we purchase risk assets with
same amount of monye every month, then we purchase many assets when the price of assets is low and few assets when the price is high. On the other hand, if the expectation of the return of the risk assets is positive, we have the maximum expectation of return when we purchase the risk assets with all of money to invest. To reduce the risk of investment, diversified investments are effective. However question whehter we use the dollar cost averaging investment method or investe money all at once to well-diversified
risk assets remains. In this study, we validate the effecte of the ddollar cost averaging investment method by Monte Carlo simulation.
en-copyright=
kn-copyright=

en-aut-name=ToujiMasayuki
en-aut-sei=Touji
en-aut-mei=Masayuki
kn-aut-name=田路正幸
kn-aut-sei=田路
kn-aut-mei=正幸
aut-affil-num=1
ORCID=

en-aut-name=FuedaKaoru
en-aut-sei=Fueda
en-aut-mei=Kaoru
kn-aut-name=笛田薫
kn-aut-sei=笛田
kn-aut-mei=薫
aut-affil-num=2
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学大学院環境学研究科

affil-num=2
en-affil=
kn-affil=岡山大学環境理工学部
en-keyword=Dollar cost averaging
kn-keyword=Dollar cost averaging
en-keyword=investment
kn-keyword=investment
en-keyword=Monte Carlo simulation
kn-keyword=Monte Carlo simulation
en-keyword=Stock price index
kn-keyword=Stock price index
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=1
article-no=
start-page=7
end-page=15
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2008
dt-pub=200803
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Statistical modeling for analysis of malaria epidemic behavior at Ishigaki　Island
kn-title=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
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=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.
en-copyright=
kn-copyright=

en-aut-name=UekiMasao
en-aut-sei=Ueki
en-aut-mei=Masao
kn-aut-name=植木優夫
kn-aut-sei=植木
kn-aut-mei=優夫
aut-affil-num=1
ORCID=

en-aut-name=NakagawaYuuki
en-aut-sei=Nakagawa
en-aut-mei=Yuuki
kn-aut-name=中川祐希
kn-aut-sei=中川
kn-aut-mei=祐希
aut-affil-num=2
ORCID=

en-aut-name=FuedaKaoru
en-aut-sei=Fueda
en-aut-mei=Kaoru
kn-aut-name=笛田薫
kn-aut-sei=笛田
kn-aut-mei=薫
aut-affil-num=3
ORCID=

en-aut-name=IshikawaHirofumi
en-aut-sei=Ishikawa
en-aut-mei=Hirofumi
kn-aut-name=石川洋文
kn-aut-sei=石川
kn-aut-mei=洋文
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学

affil-num=2
en-affil=
kn-affil=岡山大学

affil-num=3
en-affil=
kn-affil=岡山大学

affil-num=4
en-affil=
kn-affil=岡山大学
en-keyword=Anopheles minimus,
kn-keyword=Anopheles minimus,
en-keyword=generalized liner model
kn-keyword=generalized liner model
en-keyword=Ishigaki Island
kn-keyword=Ishigaki Island
en-keyword=malaria epidemic behavior
kn-keyword=malaria epidemic behavior
en-keyword=prediction
kn-keyword=prediction
en-keyword=stochastic model
kn-keyword=stochastic model
END

start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=1
article-no=
start-page=29
end-page=40
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2007
dt-pub=20070315
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Variable selection besed on global score estimation and its numerical investigation
kn-title=合成変数の推定を利用した項目選択とその数値的検討
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A variable selection method using global score estimation is proposed, which is applicable as a selection criterion in any multivariate method without external variables such as principal component analysis. This method selects a reasonable subset of variables so that the global scores, e.g. principal component scores, which are computed based on the selected variables, approximate the original global scores as well as possible in the context of the least squares. Three computational steps are proposed to estimate the scores according to how to satisfy the restriction that the estimated global scores are mutually uncorrelated. Three different examples are analyzed to demonstrate the performance and usefulness of the proposed method numerically, in which three steps are evaluated and the results obtained using four cost-saving selection procedures are compared.
en-copyright=
kn-copyright=

en-aut-name=MoriYuichi
en-aut-sei=Mori
en-aut-mei=Yuichi
kn-aut-name=森裕一
kn-aut-sei=森
kn-aut-mei=裕一
aut-affil-num=1
ORCID=

en-aut-name=FuedaKaoru
en-aut-sei=Fueda
en-aut-mei=Kaoru
kn-aut-name=笛田薫
kn-aut-sei=笛田
kn-aut-mei=薫
aut-affil-num=2
ORCID=

en-aut-name=IizukaMasaya
en-aut-sei=Iizuka
en-aut-mei=Masaya
kn-aut-name=飯塚誠也
kn-aut-sei=飯塚
kn-aut-mei=誠也
aut-affil-num=3
ORCID=

affil-num=1
en-affil=
kn-affil=岡山理科大学総合情報学部

affil-num=2
en-affil=
kn-affil=岡山大学

affil-num=3
en-affil=
kn-affil=岡山大学
en-keyword=principal components
kn-keyword=principal components
en-keyword=least square
kn-keyword=least square
en-keyword=orthogonalization
kn-keyword=orthogonalization
en-keyword=cost-saving selection
kn-keyword=cost-saving selection
END

start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=1
article-no=
start-page=31
end-page=41
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2006
dt-pub=20060315
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Socially Responsible Investment to Japanese Companies
kn-title=社会的責任投資の視点から評価した日本企業の環境対策
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Recently, Socially Responsible Investment, which is a policy of investment regarding with companies' social, environmental and moral value, attracts attention of investors. However, there are little data to explain the effectiveness of the SIR in Japan. In this paper we report the relation between environmental management and stock price of Japanese companies.
en-copyright=
kn-copyright=

en-aut-name=IkedaYousuke
en-aut-sei=Ikeda
en-aut-mei=Yousuke
kn-aut-name=池田陽介
kn-aut-sei=池田
kn-aut-mei=陽介
aut-affil-num=1
ORCID=

en-aut-name=FuedaKaoru
en-aut-sei=Fueda
en-aut-mei=Kaoru
kn-aut-name=笛田薫
kn-aut-sei=笛田
kn-aut-mei=薫
aut-affil-num=2
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学

affil-num=2
en-affil=
kn-affil=岡山大学
en-keyword=Socially Responsible Investment
kn-keyword=Socially Responsible Investment
en-keyword=Environmental rating
kn-keyword=Environmental rating
en-keyword=Eco fund
kn-keyword=Eco fund
END

start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=1
article-no=
start-page=27
end-page=30
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2006
dt-pub=20060315
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Kernel density estimation on the interval
kn-title=区間上のデータに対するカーネル密度推定法
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=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.
en-copyright=
kn-copyright=

en-aut-name=UekiMasao
en-aut-sei=Ueki
en-aut-mei=Masao
kn-aut-name=植木優夫
kn-aut-sei=植木
kn-aut-mei=優夫
aut-affil-num=1
ORCID=

en-aut-name=FuedaKaoru
en-aut-sei=Fueda
en-aut-mei=Kaoru
kn-aut-name=笛田薫
kn-aut-sei=笛田
kn-aut-mei=薫
aut-affil-num=2
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学

affil-num=2
en-affil=
kn-affil=岡山大学
en-keyword=kernel density estimator
kn-keyword=kernel density estimator
en-keyword=adaptive bandwidth
kn-keyword=adaptive bandwidth
en-keyword=data on finite interval
kn-keyword=data on finite interval
END