지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제19권 제5호
- 발행연도
- 2017.1
- 수록면
- 2,311 - 2,321 (11page)
이용수
초록· 키워드
오류제보하기
In general, cokriging is used to estimate the observation value of the primary variable using the secondary variables. One of the problems that can arise in cokriging is that when the correlation between primary and secondary variable is low, the secondary variable has no role as a secondary variable and can not be use in cokriging. But we can not say that it is not meaningful, as it may be a special function structure (e.g. exponential). Therefore, to settle this problem we propose a method that carry out cokriging after transforming the variable in case there is a secondary variable that has lower correlation with a primary variable. To show validation of proposed method, we perform simulation study that simulates the locations, primary variable, and two secondary variables related with primary variable. We assume that the two secondary variables (V, W) has correlation with a primary variable (U). Let the variables U and V has high correlation value while variables U and W has low correlation value. We perform a cokriging for above two cases and compare the result based on the PRESS statistic and use as a criterion for the cross-validation of the proposed method. The simulation result for cokriging between U and V variable is superior than that for cokriging between U and W variable.
목차
등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
Bickel, P. J. / 1989 / Mathematical Statistics: Basic Ideas and Selected Topics / Holden-Day, Inc
Chica-Olmo, J. / 2007 / Prediction of housing location price by a multivariate spatial method: cokriging / Journal of Real Estate Research 29 (1) : 91 ~ 144
Cressie, N. A. C. / 1991 / Statistics for Spatial / Wiley
Darwish, K. M. / 2007 / Mapping soil salinity using collocated cokriging in Bahariya Oasis, Egypt / Proceedings of the 5th International Symposium on Spatial Data Quality : 157 ~ 1
Doyen, P. M. / 1988 / Porosity from seismic data : A geostatistical approach / Geophysics 53 (10) : 1263 ~ 1275
Chica-Olmo, J. / 2007 / Prediction of housing location price by a multivariate spatial method: cokriging / Journal of Real Estate Research 29 (1) : 91 ~ 144
Cressie, N. A. C. / 1991 / Statistics for Spatial / Wiley
Darwish, K. M. / 2007 / Mapping soil salinity using collocated cokriging in Bahariya Oasis, Egypt / Proceedings of the 5th International Symposium on Spatial Data Quality : 157 ~ 1
Doyen, P. M. / 1988 / Porosity from seismic data : A geostatistical approach / Geophysics 53 (10) : 1263 ~ 1275
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A Study on Prediction Comparison of Kriging and Cokriging using PCA
Journal of The Korean Data Analysis Society
2017 .01
-
2010년 대기오염측정망에서 2개 대기오염물질(PM10, NO2)과 교통 관련 변수 간의 연관성 연구
한국대기환경학회 학술대회논문집
2018 .10
-
잠재성장모형을 활용한 청소년 전환기 내면화 및 외현화 문제행동과 관련변인에 관한 연구
가정과삶의질연구
2015 .02
-
Nonparametric Bayesian copula modeling for shrinkage through the transformation
한국데이터정보과학회지
2023 .07
-
Independence test of a continuous random variable and a discrete random variable
CSAM(Communications for Statistical Applications and Methods)
2020 .05
-
인공신경망 모델과 배경대기 측정자료를 활용한 서울시 PM2.5 농도 단기예측 및 입력변수의 기여도 분석
한국대기환경학회지(국문)
2021 .12
-
A variable reference leak
한국진공학회 학술발표회초록집
2016 .08
-
앙상블 비모수적 변수 선택 방법
Journal of The Korean Data Analysis Society
2023 .04
-
THE COMPLETE CONVERGENCE FOR DEPENDENT RANDOM VARIABLES IN HILBERT SPACES
충청수학회지
2018 .01
-
Two-stage imputation method to handle missing data for categorical response variable
CSAM(Communications for Statistical Applications and Methods)
2023 .11
-
ON RECURSIONS FOR MOMENTS OF A COMPOUND RANDOM VARIABLE: AN APPROACH USING AN AUXILIARY COUNTING RANDOM VARIABLE
East Asian Mathematical Journal
2023 .05
-
분석변수들의 잠재공간 표현
응용통계연구
2017 .08
-
Probabilistic penalized principal component analysis
CSAM(Communications for Statistical Applications and Methods)
2017 .03
-
Variable Selection and Outlier Detection for Automated K-means Clustering
CSAM(Communications for Statistical Applications and Methods)
2015 .01
-
Unified methods for variable selection and outlier detection in a linear regression
CSAM(Communications for Statistical Applications and Methods)
2019 .11
-
주성분 회귀에서 원변수의 신뢰구간 구축에 관한 연구
Journal of The Korean Data Analysis Society
2020 .01
-
Variable selection in Poisson HGLMs using h-likelihoood
한국데이터정보과학회지
2015 .12
-
Learning fair prediction models with an imputed sensitive variable: Empirical studies
CSAM(Communications for Statistical Applications and Methods)
2022 .03
-
수원시 기온의 통계적 모형 연구
한국데이터정보과학회지
2015 .12
-
Robust varying coefficient model using L1 regularization
한국데이터정보과학회지
2016 .08
이 논문의 저자 정보
최근 본 자료
댓글(0)
0