• 제목/요약/키워드: influential point

검색결과 191건 처리시간 0.022초

의복제품에 대한 소비자 만족의 종적연구 -구매시 만족과 사용시 만족을 중심으로- (A Longitudinal Study on Consumer Satisfaction in Clothing Product -With Reference to Satisfaction at the Point of Purchase and Satisfaction in Wearing-)

  • 홍금희
    • 한국의류학회지
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    • 제15권1호
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    • pp.3-14
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    • 1991
  • This thesis investigates influential attributes in clothing purchase through the examination of questionnaire concerning consumer satisfaction at the point of purchase, and clarifies the relationship between consumer satisfaction at the point of purchase and that in wearing. The results are as follows; 1. At interest stage, color, beauty, becomingness and suitability to occasion are influential (in this order): at trial stage, becomingess, color, others' reaction and fit: at adaption stage, color, becomingness, beauty, fit. 2. According to canonical analysis, consumer satisfaction at the point of purchase and that in wearing are closely related. (RCI = .97) It suggests that satisfaction in wearing depends largely on satisfaction at the point of purchase. 3. General satisfaction in wearing is closely related with such factors as predictive expecta-tion, satisfaction at the point of purchase, predictive disconfirmation, normative disconfirrna-tion, and product performance. According to repression results, those factors can explain $79\%$ of satisfaction ill wearing (R = .79). Above all, product performance and normative disconfirmation are highly influential.

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심장수술 환자의 회복의 질 영향 요인 (Influential Factors on Quality of Recovery of Patients Undergone Cardiac Surgery)

  • 김수연
    • 재활간호학회지
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    • 제17권2호
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    • pp.64-71
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    • 2014
  • Purpose: The purpose of this study was to identify the quality of recovery and influential factors on the quality of recovery after cardiac surgery. Methods: 198 patients undergone cardiac surgery were asked to fill in a self-reported questionnaire about the quality of recovery, anxiety, depression including social support at discharge. The collected data were analyzed with mean, standard deviation, correlation and stepwised multiple regression. Results: The mean scores of quality of recovery at discharge after cardiac surgery was 2.04 on a 3 point scale. Influential factors on the quality of recovery after cardiac surgery were depression(p=.001) and anxiety(p=.027), which disclosed 44.2% of explanation. Depression was the most influential factor. Conclusion: The influential factors on the quality of recovery at discharge after cardiac surgery were depression and anxiety. More studies will be required to reduce depression and anxiety in patients undergone cardiac surgery.

On Sensitivity Analysis in Principal Component Regression

  • Kim, Soon-Kwi;Park, Sung H.
    • Journal of the Korean Statistical Society
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    • 제20권2호
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    • pp.177-190
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    • 1991
  • In this paper, we discuss and review various measures which have been presented for studying outliers. high-leverage points, and influential observations when principal component regression is adopted. We suggest several diagnostics measures when principal component regression is used. A numerical example is illustrated. Some individual data points may be flagged as outliers, high-leverage point, or influential points.

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클러스터링 및 랭킹 기법을 활용한 트위터 인플루엔셜 추출 연구 (A study on finding influential twitter users by clustering and ranking techniques)

  • 최준일;장중혁
    • 한국산업정보학회논문지
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    • 제20권1호
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    • pp.19-26
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    • 2015
  • 최근 SNS 서비스의 확산과 스마트 장치의 일반적인 보급에 따라 수많은 사용자들이 트위터를 비롯한 SNS를 이용하고 있다. 본 논문에서는 영향력 높은 트위터 사용자를 찾기 위한 방법으로 클러스터링 및 랭킹 기법을 적용하는 연구를 수행하였다. 트위터에서 일반적으로 중요하다고 여겨지는 follow, Retweet을 포함한 총 5가지의 랭킹 요소를 제안하고 해당 랭킹 요소들을 클러스터링을 위한 초기 중심점 선정 시 기준으로 설정함으로써 클러스터링 결과의 향상을 위한 비교 실험을 수행하였다. 이를 통해 트위터 인플루엔셜 추출의 새로운 방향을 제시할 수 있을 것으로 사료된다.

A Bayesian Diagnostic Measure and Stopping Rule for Detecting Influential Observations in Discriminant Analysis

  • Kim, Myung-Cheol;Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • 제29권3호
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    • pp.337-350
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    • 2000
  • This paper suggests a new diagnostic measure and a stopping rule for detecting influential observations in multiple discriminant analysis (MDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the fractional Bayes factor methodology. The Bayes factor is taken as a discriminatory information in MDA. It is shown that the effect of an observation over the discriminatory information is fully explained by the diagnostic measure. Based on the measure, we suggest a stopping rule for detecting influential observations in a given training sample. As a tool for interpreting the measure a graphical method is sued. Performance of the method is used. Performance of the method is examined through two illustrative examples.

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On an Information Theoretic Diagnostic Measure for Detecting Influential Observations in LDA

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • 제25권2호
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    • pp.289-301
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    • 1996
  • This paper suggests a new diagnostic measure for detecting influential observations in two group linear discriminant analysis(LDA). It is developed from an information theoretic point of view using the minimum discrimination information(MDI) methodology. MDI estimator of symmetric divergence by Kullback(l967) is taken as a measure of the power of discrimination in LDA. It is shown that the effect of an observation over the power of discrimination is fully explained by the diagnostic measure. Asymptotic distribution of the proposed measure is derived as a function of independent chi-squared and standard normal variables. By means of the distributions, a couple of methods are suggested for detecting the influential observations in LDA. Performance of the suggested methods are examined through a simulation study.

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Graphical Methods for the Sensitivity Analysis in Discriminant Analysis

  • Jang, Dae-Heung;Anderson-Cook, Christine M.;Kim, Youngil
    • Communications for Statistical Applications and Methods
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    • 제22권5호
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    • pp.475-485
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    • 2015
  • Similar to regression, many measures to detect influential data points in discriminant analysis have been developed. Many follow similar principles as the diagnostic measures used in linear regression in the context of discriminant analysis. Here we focus on the impact on the predicted classification posterior probability when a data point is omitted. The new method is intuitive and easily interpretable compared to existing methods. We also propose a graphical display to show the individual movement of the posterior probability of other data points when a specific data point is omitted. This enables the summaries to capture the overall pattern of the change.

대학생의 소비지향적 태도에 따른 과시소비 성향 (University Students' Conspicuous Consumption according to their Consumption-Orientation)

  • 오지현;계선자
    • 가족자원경영과 정책
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    • 제10권2호
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    • pp.43-59
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    • 2006
  • The purpose of this study was to examine university students' consumption-orientation and attitude toward conspicuous consumption as well as to identify the factors that are most influential on consumption-orientation and conspicuous consumption behavior. The major findings of this study are summarized below. First, the average scores of consumption-orientation and conspicuous consumption were 2.71 and 3.15 respectively, on a 5 point scale. Second, the most influential factor on university students' consumption-orientation was friends' influence. Third, the most influential factor on conspicuous consumption was students' perceived social status. Fourth, conspicuous consumption tendency and consumption-orientation were significantly higher for those students with larger amount of allowances, female students, or the students who are working. Fifth, the university students' consumption-orientation and conspicuous consumption tendency were significantly higher for the students whose parents' child-rearing style is inconsistent or excessive investment. Finally, the consumption orientation has a significant positive relationship with conspicuous consumption.

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A Bayesian Diagnostic for Influential Observations in LDA

  • Lim, Jae-Hak;Lee, Chong-Hyung;Cho, Byung-Yup
    • 품질경영학회지
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    • 제28권1호
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    • pp.119-131
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    • 2000
  • This paper suggests a new diagnostic measure for detecting influential observations in linear discriminant analysis (LDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the imaginary training sample methodology. The Bayes factor is taken as a criterion for testing homogeneity of covariance matrices in LDA model. It is noted that the effect of an observation over the criterion is fully explained by the diagnostic measure. We suggest a graphical method that can be taken as a tool for interpreting the diagnostic measure and detecting influential observations. Performance of the measure is examined through an illustrative example.

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계층분석과정을 이용한 공공분야 PMO 제도 활성화요인 우선순위 분석 (A Priority Analysis on Influential Factors for Invigorating Project Management Office (PMO) in Public Sectors based on Analytic Hierarchy Process (AHP))

  • 백형충;강필성
    • 산업경영시스템학회지
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    • 제37권4호
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    • pp.42-53
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    • 2014
  • This study identifies influential factors for invigorating the public management office (PMO) system for system integration (SI) projects in public sectors and analyzes the priority of each factor from the point of different stakeholders, i.e., owners, SI company, and PMO. Based on the literature review, four first-level influential factors are identified: legal system maintenance, owner's capability, SI company's capability, and PMO's capability. Among them, the PMO's capability is determined as the most critical factor by all the stakeholders. Among the second-level influential factors, the capabilities of professional engineers and project managers are considered as important among the PMO's capability, whereas the reasonable consulting fee is considered as the most critical factor among the legal system maintenance. With respect to each stakeholder, project management capability is considered as the most important factor for owners, while the reasonable consulting fee is considered as the most important factor for PMO.