• 제목/요약/키워드: multivariate analysis of variation

검색결과 135건 처리시간 0.032초

Robust Design for Multiple Quality Characteristics using Principal Component Analysis

  • Kwon, Yong-Man;Hong, Yeon-Woong
    • Journal of the Korean Data and Information Science Society
    • /
    • 제14권3호
    • /
    • pp.545-551
    • /
    • 2003
  • Robust design is to identify appropriate settings of control factors that make the system's performance robust to changes in the noise factors that represent the source of variation. In this paper we propose how to simultaneously optimize multiple quality characteristics using the principal component analysis of multivariate statistical analysis. An example is illustrated to compare it with already proposed method.

  • PDF

다변수 통계법을 이용한 조리식품의 관능특성 연구 (Application of Multivariate Statistics for Characterization of Sensory Properties in Pre-cooked Foods)

  • 윤희남
    • 한국식품과학회지
    • /
    • 제23권6호
    • /
    • pp.711-716
    • /
    • 1991
  • 조리 식품의 관능특성을 평가하고, 다변수 통계법으로 서로의 상관관계를 조사 하였다. 시료 식품을 각각 특징지을 수 있는 12개의 관능특성을 단계적 차별 분석에 의해 선정하였으며, 요민분석에 의해 도출된 3개의 요인으로 12개의 관능 특성이 갖는 변이의 61.9%를 설명할 수 있었다. 요인 I은 질적 관능성질과 관련이 있고, 요인 II는 양적인 관능특성과 높은 상관관계를 나타내었다. 시료 식품과 관능특성을 동시에 주 성분 좌표상에 표시함으로서 서로간의 상관관계 설정이 용이하였고, average linkage 및 Ward's method을 이용한 집락분석에서 9개의 조리식품은 관능특성의 유사성에서 크게 3개의 집락으로 분류되었다.

  • PDF

Estimation of Genetic Variance Components of Body Size Measurements in Hanwoo (Korean Cattle) Using a Multivariate Linear Model

  • Lee, Jung-Jae;Kim, Nae-Soo
    • Journal of Animal Science and Technology
    • /
    • 제52권3호
    • /
    • pp.167-174
    • /
    • 2010
  • The objectives of this study were to quantify the combination values of the principal components and factors calculated using body measurements of Hanwoo (Korean Cattle) and estimate their heritabilities. The technique of multivariate analysis was used to reduce a large number of variables to a smaller number of new variables and characterize cattle according to body shape. The analyses were performed using 1,979 cattle at 12 months of age and 936 cattle at 24 months of age. The data for the analyses was obtained from progeny tests performed on Korean Cattle for 6 years from 2003 to 2008. The phenotypic correlations among these traits were estimated to range from 0.32 to 0.90 at 12 months of age and from 0.21 to 0.82 at 24 months of age. The first principal components (PC1s) indicated a weighed average of overall body measurements, accounting for 99.91% of the total variation for both periods of test. The two first PCs had positive coefficients for all body measurements. The major sources of PC, such as chest girth (CG), body length (BL), rump height (RH), and wither height (WH) were similar for both test periods. The heritabilities for PC1, the first factor score (FS1), and the second factor score (FS2) were estimated by multivariate REML method. The estimated heritabilities for PC1, FS1, and FS2 were 0.33, 0.38, and 0.40, respectively, at 12 months of age and 0.26, 0.76, and 0.58 at 24 months of age. Further studies are needed to determine whether the heritabilities of FS1 and FS2 at 24 months of age were overestimated.

Agronomic Characteristics of Introduced Triticales

  • Cho, Chang-Hwan;Yun, Seung-Gil;Kazuo, Ataku;Taiki, Yoshihira
    • 한국작물학회지
    • /
    • 제43권1호
    • /
    • pp.6-10
    • /
    • 1998
  • This study was conducted to obtain basic information on the development of new triticale cultivars with good quality and high productivity for soiling feed. Twelve cultivars introduced from Poland, Canada and two cultivars developed in Korea were planted in the experimental field at Ansong National University in 1995. Major growth traits and nutrient components for feed were measured and analyzed using principal component analysis and average linkage cluster analysis. 'Prego', 'Prag 46/3', and 'Clercal' were relatively high in forage yield. Most of forage nutrient contents except cellulose were higher in Prego, Clercal, and 'Cumulus' than other cultivars. Results of principal component analysis on 11 traits including forage yield and nutrient contents showed that 72.59% of total variation were explained by the first and second principal components. The Z$_1$ had high correlation with the contents of forage nutrient components and Z$_2$ with plant height, fresh, and dry weight. Fourteen cultivars were classified into 7 groups by multivariate analysis. Clercal and Prego in Group I could be useful source for the improvement of triticale as an important forage crop because they exhibited high productivity as well as high contents of nutrient components for feed.

  • PDF

Geographic Variation in Shell Morphology of the Rock Shell, Thais clavigera (Gastropoda: Muricidae) According to Environmental Difference in Korean Coasts

  • Son Min Ho
    • 한국수산과학회지
    • /
    • 제36권6호
    • /
    • pp.632-640
    • /
    • 2003
  • Geographic variation in shell morphology of Thais clavigera $(K\"{u}ster)$ (Gastropoda: Muricidae) was investigated using samples collected from 24 sites along the Korean coast. Multivariate statistical analysis was applied to 9 morphometric and 4 categorical variables. The shells of T. clavigera were classified into two distinct morph types (Type-W and -E). Temperature and salinity of the sampling sites were significantly correlated with the incidence of morph types. Relative abundance of Type-W (thin, yellowish brown shell with triangular nodules) was positively correlated with temperature and negatively correlated with salinity. In contrast, relative abundance of Type-E (thick, dark purple shell with round nodules) was negatively correlated with temperature and positively correlated with salinity. Possible correlation between environmental factors (temperature and salinity) and morphological variations in the shells were discussed.

다수준 다변량 구조방정식을 이용한 활동참여와 통행행태 분석에 관한 연구 (Multilevel and Multivariate Structural Equation Models for Activity Participation and Travel Behavior)

  • 최연숙;정진혁
    • 대한교통학회지
    • /
    • 제21권4호
    • /
    • pp.145-154
    • /
    • 2003
  • 본 연구에서는 활동기반모형의 방법론중, 최근 많이 이루어지고 있는 구조방정식(SEM:Structural Equation Model)과 다수준 모형(Multi-Level Model)을 동시에 구축하여 개인의 활동참여와 통행행태의 가구 구성원간 영향력을 설명하였다. 모형의 실효성을 검증하기 위하여 미국 Puget Sound 지역에서 1989년부터 수행된 928 가구의 1,621명의 교통통행조사자료를 분석에 사용하였다. 분석 결과, 개인의 활동참여와 통행행태의 가구간 유사성이 0.13에서 0.33의 값으로 예측되어 가구 구성원간에 강한 상호작용을 하는 것으로 나타났다. 또한, 유사성의 범위는 0에서 1의 범위를 가지나 0.05와 0.20의 값을 가져도 다수준 모형을 이용한 분석이 타당하다고 판단하기 때문에 본 연구에서 제시한 다수준 다변량 구조방정식을 이용한 개인의 활동참여와 통행행태 설명이 타당한 것으로 분석되었다.

다변량 파라미터설계법에서 SN비 산출방법 (Signal-to-Noise Ratio for Parameter Design with Several Quality Characteristics)

  • 김상익
    • 한국품질경영학회:학술대회논문집
    • /
    • 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
    • /
    • pp.610-621
    • /
    • 1998
  • In parameter design introduced by Taguchi, we analyze a signal-to-noise(SN) ratio. The SN ratio is a function of the expected loss due to the variation of quality characteristic. In this paper, an easy way for developing SN ratios is presented, which can be used to several quality characteristics simultaneously in parameter design. To develop such multivariate SN ratios, the transformation method of the expected loss and combining techniques are employed. And the analysis of real empirical data for an application of the proposed method is also presented.

  • PDF

파라미터설계법의 다특성 성능척도 산출방법 (A Performance Measure for Parameter Design with Several Quality Characteristics)

  • 김상익
    • 품질경영학회지
    • /
    • 제27권3호
    • /
    • pp.67-78
    • /
    • 1999
  • In parameter design introduced by Taguchi, we analyze a performance measure, so called SN ratio. The SN ratio is a function of the expected loss due to the variation of quality characteristic. In this paper, an easy way for developing performance measures is presented, which can be used to control several quality characteristics simultaneously in parameter design. To develop such multivariate performance measures, the transformation method of the expected loss and combining techniques are employed. And the analysis of real empirical data for an application of the proposed method is also presented.

  • PDF

지역 간 흡연율 격차 영향요인 분석 및 금연사업 상대적 효율성 평가: Clustering Analysis와 Data Envelopment Analysis를 활용하여 (Analysis of Factors Affecting the Smoking Rates Gap between Regions and Evaluation of Relative Efficiency of Smoking Cessation Projects)

  • 김희년;이다호;정지윤;구여정;정형선
    • 보건행정학회지
    • /
    • 제30권2호
    • /
    • pp.199-210
    • /
    • 2020
  • Background: Based on the importance of ceasing smoking programs to control the regional disparity of smoking behavior in Korea, this study aims to reveal the variation of smoke rate and determinants of it for 229 provinces. An evaluation of the relative efficiency of the cease smoking program under the consideration of regional characteristics was followed. Methods: The main sources of data are the Korean Statistical Information Service and a national survey on the expenditure of public health centers. Multivariate regression is performed to figure the determinants of regional variation of smoking rate. Based on the result of the regression model, clustering analysis was conducted to group 229 regions by their characteristics. Three clusters were generated. Using data envelopment analysis (DEA), relative efficiency scores are calculated. Results from the pooled model which put 229 provinces in one model to score relative efficiency were compared with the cluster-separated model of each cluster. Results: First, the maximum variation of the smoking rate was 16.9%p. Second, sex ration, the proportion of the elder, and high risk drinking alcohol behavior have a significant role in the regional variation of smoking. Third, the population and proportion of the elder are the main variables for clustering. Fourth, dissimilarity on the results of relative efficiency was found between the pooled model and cluster-separated model, especially for cluster 2. Conclusion: This study figured regional variation of smoking rate and its determinants on the regional level. Unconformity of the DEA results between different models implies the issues on regional features when the regional evaluation performed especially on the programs of public health centers.

Morphometric analysis of the Daphne kiusiana complex (Thymelaeaceae) using digitized herbarium specimens

  • KIM, Yoon-Su;OH, Sang-Hun
    • 식물분류학회지
    • /
    • 제52권3호
    • /
    • pp.144-155
    • /
    • 2022
  • Daphne kiusiana is an evergreen shrub with dense head-like umbels of white flowers distributed in southern Korea, Japan, China, and Taiwan. Plants in China and Taiwan are recognized as var. atrocaulis by having a dark purple stem, elliptic leaves, and persistent bracts. Recently, plants on Jejudo Island were segregated as a separate species, D. jejudoensis, given their elliptic leaves with an acuminate apex, a long hypanthium and sepals, and a glabrous hypanthium. Morphological variations of three closely related taxa, the D. kiusiana complex, were investigated across the distributional range to clarify the taxonomic delimitation of members of the complex. Twelve characters of the leaf and flower were measured from digitized herbarium specimens using the image analysis program ImageJ and were included in a morphometric analysis, the results of which indicate that the level of variation in the characters is very high. The results of a principal component analysis weakly separated D. jejudoensis from D. kiusiana according to their floral characteristics, such as a longer, glabrous hypanthium, and larger sepals. However, some individuals of D. kiusiana, particularly those from Bigeumdo Island, were included in D. jejudoensis. Recognition of D. kiusiana var. atrocaulis based on the leaf shape was not supported in the analysis, and D. jejudoensis may be recognized as a variety of D. kiusiana. Our morphometric analysis shows that digitized images of herbarium specimens could be useful and an additional method by which to investigate more diverse specimens.