ScholarWorks@Sookmyung Women's University: Yeo, In Kwon

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Yeo, In Kwon (여인권)

Science (Department of Statistics)

Research Area: 시계열분석, Time series analysis

Tel 02-2077-7173
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YeoJohnson transformation:3||YeoJohnson transformation.:3||Acupuncture:3||skewness:3||Functional dyspepsia:3||optimal combination:3||Bootstrap:2||Score test:2||KOSPI 200:2||Modulus transform:2||Poisson regression:2||hierarchical time series forecasts:2||Korean red ginseng:2||parametric transformation:2||coverage probability.:2||Randomized controlled trial:2||kurtosis:2||Cold stress test:1||Coverage probability:1||Dendrogram:1||Detection:1||Diagnostic criteria:1||Digital camera:1||Digital tongue imaging system:1||Dirichletdistribution.:1||Discrete cosine transform:1||Distaldorsal difference:1||Dry mouth:1||EM algorithm:1||Early repayment:1||Ftest:1||Fisher information matrix:1||Functional magnetic resonance imaging:1||GARCH model:1||GARCHtype:1||GEE:1||Generalized estimating equations:1||Ghrelin:1||Gower 거리:1||Gower's distance:1||HIRA data:1||HSI:1||HSI.:1||Health functional food:1||Household Income and Expenditure Survey:1||Image filtering:1||Image hash:1||Image search:1||Information security:1||Infrared thermography:1||Intensity function:1||Intestine:1||Korea:1||KullbackLeibler information:1||LAN:1||Length of runs:1||Limited interaction:1||LjungBox test:1||Lotto 6/45:1||MCMC:1||Markov chain mome Carlo:1||Martingale array:1||Maximum likelihood:1||Mean function:1||Metabolomics:1||Minimum mean square error:1||Modulus변환:1||Monte Carlo estimation:1||Negative binomial regression:1||Pain measurement:1||Performance evaluation:1||Permutation:1||Poisson regression model:1||Portmanteautest.:1||Power transformation:1||Probiotics:1||Proportional odds model:1||Quasimaximum likelihood:1||Quasilikelihood:1||R:1||RNN:1||Ratio:1||Salivary flow rate:1||Seaweeds:1||Skewed tdistribution:1||Streitberger needle:1||TSCS regression model:1||TSCS회귀모형:1||Tie:1||Tongue coating:1||Tongue diagnosis:1||Traditional Korean medicine:1||VARMAX model:1||VARMAX모형:1||Variance value:1||Visual analogue scale:1||Vuong statistic.:1||Waitlist:1||Wilcoxon signed rank test:1||Wilcoxon signedrank distribution:1||Wilcoxon부호순위검정:1||Xerostomia:1||YeoJohnson 변환:1||YeoJohnson 변환.:1||YeoJohnsontransformation.:1||YeoJohnson변환:1||YinDeficiency:1||Yukmijihwangtang:1||acupuncture:1||alternative therapy:1||baseline category logit model:1||beta mixtures:1||binomial classification:1||bootstrap calibration:1||change point detection:1||clustering:1||coverage probability:1||cox statistic:1||criminal history category:1||cross correlation:1||discrete cosine transform:1||elderly patient medical data:1||equicontinuous:1||exponential function:1||generalized linearmodels:1||geometric mean:1||hierarchical agglomerative procedure:1||imbalanced data:1||impurity index:1||influence function:1||judicial sentencing discretion:1||leverage effect:1||logarithmic transformation:1||mean value function:1||meteorological data:1||minimum mean square error:1||negative binomial regression:1||nonguaranteed principal.:1||nonhomogeneous Poissonprocesses.:1||offence level:1||parametric bootstrap:1||power:1||precision:1||rapid diagnostic kit:1||sensitivity:1||sentencing factor:1||sentencing guideline:1||sign test:1||small area estimation:1||smearing estimation:1||specificity:1||ttest:1||t검정:1||threshold moving:1||time series disconnection:1||tongue coating:1||tongue coating thickness:1||tongue diagnosis:1||truncated geometric distribution:1||ultraviolet fluorescence:1||under grantKRF2003002C00043.This work was supported by the Korea Research Foundation Grant funded by Korea.:1||unemployment rates.:1||uniform convergence:1||weather data:1||weather station:1||wet weight of tongue coating:1||zeroinflated negative binomial regression.:1||zeroinflated regression:1||가격제한:1||가계동향조사:1||검정력:1||계층 시계열 예측:1||계층적 병합절차:1||교차상관관계:1||군집분석:1||기상관측소:1||기상자료:1||다범주 로짓모형:1||디리슈레분포:1||로또 6/45:1||모수적 붓스트랩:1||민감도:1||범죄수준:1||범죄전력:1||베타분포:1||변화점검출:1||부호검정:1||분류 기준점 조정:1||불균형 자료:1||불순도 지수:1||소지역추정:1||수목도:1||수익률:1||시계열 단절:1||신속진단키트:1||실업률:1||심평원자료:1||양형기준:1||양형인자:1||양형재량권:1||연의 길이:1||영과잉 음이항 회귀분석.:1||왜도:1||원금비보장:1||위험률:1||이항 분류:1||일반화선형모형:1||일반화추정방정식.:1||자기회귀모형:1||자기회귀부분누적이동평균모형.:1||자기회귀이동평균모형:1||장밀도:1||절사된 기하분포:1||조건부 이분산 모형:1||조기상환:1||지렛대 효과:1||첨도:1||최소평균제곱오차 예측:1||특이도:1||포아송 회귀모형:1||포함확률:1||ARFIMA models:1||혼합형분포:1||ARMA models:1||ARMAX model:1||ARMAX모형:1||Asymptotically independentThis work was in part supported by the Korea Research Foundations:1||Augmented interaction:1||Autoregressive model:1||Autoregressive moving average model:1||Bartlett test:1||Bayesian inference:1||Betamixture:1||Betamixtures:1||Bifurcating model:1||Blur picture:1||BoxCox transformation:1||CAM:1||Cold hypersensitivity in the hands and feet:1||

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Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127

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