• 제목/요약/키워드: Selection Analysis

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MICHAEL'S SELECTION THEORIES AND THEIR APPLICATIONS

  • CHO, MYUNG HYUN
    • 호남수학학술지
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    • 제20권1호
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    • pp.135-145
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    • 1998
  • In this paper, we focus on the convex-valued selection theorem out of four main selection theorems; zero-dimensional, convex-valued, compact-valued, finite-dimensional theorems based on Michael's papers. We prove some theorems about lower semi-continuous set-valued mappings, and derive some applications to closed continuous set-valued mappings and to functional analysis. We also give a partial solution to the open problem posed by Engelking, Heath, and Michael.

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The Interaction between Personality Characteristics and Mood States in Media Contents Selection

  • Cho, Seungho;Hur, Junsoo
    • International Journal of Contents
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    • 제14권4호
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    • pp.51-56
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    • 2018
  • This study was conducted to explore the relationship between personality characteristics and mood in the selection of media content. Using meta-analysis, this study analyzed past studies regarding media content selection in television program. The results of this research showed that the preference of a given media content would depend on the viewer's mood, personality characteristics and the interaction between personality characteristics and mood states. The secondary data of television programs supported the association.

To Bid or Not to Bid? - Keyword Selection in Paid Search Advertising

  • Ma, Yingying;Sun, Luping
    • Asia Marketing Journal
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    • 제16권3호
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    • pp.23-33
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    • 2014
  • The selection of keywords for bidding is a critical component of paid search advertising. When the number of possible keywords is enormous, it becomes difficult to choose the best keywords for advertising and then subsequently to assess their effect. To this end, we propose an ultrahigh dimensional keyword selection approach that not only reduces the dimension for selections, but also generates the top listed keywords for profits. An empirical analysis using a unique panel dataset from a large online clothes retailer that advertises on the largest search engine in China (i.e., Baidu) is presented to illustrate the usefulness of our approach.

60대~70대 여성 소비자의 인지된 연령에 따른 의복선택기준 및 패션 정보원 활용 (Clothing Selection Criteria and the Use of Fashion Information Sources Based on the Perceived Age of Elderly Female Consumers in their 60s~70s)

  • 홍경희;이윤정
    • 한국의류학회지
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    • 제34권2호
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    • pp.200-211
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    • 2010
  • This study examines the clothing purchasing behavior of elderly female consumers based on their perceived age. This study grouped elderly female consumers by their perceived age and examined what influence the clothing selection criteria or fashion information sources have on individual clothing purchase behavior. From January $10^{th}$ to February $25^{th}$ 2008, data research was conducted on 194 elderly women in their 60s and 70s from Seoul. The SPSS 14.0 software program was used to conduct data analyses such as descriptive statistics, frequency analysis, factor analysis, reliability analysis, ANOVA, and the Duncan test as a post-hoc analysis. The results of this study are as follows: First, the elderly female consumers were divided into three groups, younger, average, and older according to their perceived age. Second, the factors derived from the factor analysis of their clothing selection criteria included personal relevance, practicability, conformity, and economic efficiency. In addition, three factors of advertising/media-provided, consumer-provided and store-provided information were extracted from the factor analysis of fashion information sources. Third, there were significant differences in personal relevance and conformity that depended on the perceived age of elderly female consumers for clothing selection criteria. Fourth, in the use of fashion information sources, significant differences were found in all aspects of advertising/media-provided, consumer-provided, and store-provided information sources that depended on their perceived age.

콜라보레이션 패션제품 선택요인이 제품 선호도 및 행동의도에 미치는 영향 (Impact of the selective factors of collaboration fashion products on product preferences and behavioral intention)

  • 김유빈
    • 한국의상디자인학회지
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    • 제23권2호
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    • pp.53-65
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    • 2021
  • The study of behavioral intention in the fashion industry, until recently, focused on the variables of satisfaction and the intention of purchase, and were limited to specific individuals who were fashion consumers. It was found that variables of intention of recommendation have a greater impact on many other potential customers from a study on consumer behavioral intention. Thus, this study seeks to examine the relationship between the selection factors of collaboration fashion products and preference, and the relationship between preference and the intention of purchase. Moreover, the purpose of this research is to find the influence of relationships between selective factors of collaboration fashion products and the intention of recommendation. The 'intention of recommendation' was set as a dependent variable, that influences the relationship between preference and intention of recommendation. For empirical analysis, SPSS 25.0 software was used to conduct frequency analysis, reliability analysis, factor analysis, and multiple regression analysis based on a survey results conducted upon 217 people in their 20s. The empirical analysis results are as follows: First, collaboration fashion product selection factors consisted of 'product originality', 'designers and artists' reputation', 'product reliability', and 'products' aesthetic impression'. Second, the selection factors of fashion products had a positive influence on product preferences. Third, the preference for collaboration fashion products had an influence on intention of purchase and intention of recommendation. Fourth, collaboration fashion product selection factors affected intention of purchase. Fifth, selection factors of collaboration fashion products were found to have a significant impact on the intention recommendation.

A STUDY ON PREDICTION INTERVALS, FACTOR ANALYSIS MODELS AND HIGH-DIMENSIONAL EMPIRICAL LINEAR PREDICTION

  • Jee, Eun-Sook
    • Journal of applied mathematics & informatics
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    • 제14권1_2호
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    • pp.377-386
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    • 2004
  • A technique that provides prediction intervals based on a model called an empirical linear model is discussed. The technique, high-dimensional empirical linear prediction (HELP), involves principal component analysis, factor analysis and model selection. HELP can be viewed as a technique that provides prediction (and confidence) intervals based on a factor analysis models do not typically have justifiable theory due to nonidentifiability, we show that the intervals are justifiable asymptotically.

Digital Shade Analysis System을 이용한 전치부의 색조 특성에 관한 연구 (SHADE ANALYSIS OF ANTERIOR TEETH USING DIGITAL SHADE ANALYSIS SYSTEM)

  • 김희은;조인호;임주환;임헌송
    • 대한치과보철학회지
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    • 제41권5호
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    • pp.565-581
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    • 2003
  • Statement of problem : A scientific examination and understanding of overall aspects of the natural dentition is the first step involved in making a satisfactory selection in the shade of an aesthetic prosthesis. Proper natural shade selection of the prosthetic restoration that is in harmony with the remaining dentition is as important aesthetically, as harmony of form and function in the anterior dentition. Clinically, the most commonly applied method of shade selection has been visual, but because of the subjective nature inherent to this method, shade selection results are variable and can be influenced by such factors as the technician, the type of shade guide used, and the type and intensity of the lighting. Purpose : The purpose of this study was to develop a more objective and scientific approach to examining and understanding the shade of teeth, which has in turn lead to the development of a number of shade analysis devices that present a more objective method of shade analysis. Material and Method : In this study, the shades of healthy anterior teeth were examined and analyzed using the recently developed digital shade analysis of the $ShadeScan^{TM}$ System. The study examined 80 individuals in their twenties, 40 males and 40 females, presenting 6 healthy, unrestored maxillary anterior teeth. Tooth brushing and oral prophylaxis were performed prior to evaluation. The ShadeScan handpiece was used to acquire images of the 6 maxillary anterior teeth. These images were analyzed using the Vita/Classical mode of the $ShadeScan^{TM}$ Software, and shade maps of each tooth were acquired and divided into cervical, middle, and incisal thirds. The shade distribution of each third, left and right symmetry, and gender differences were investigated and analyzed. Results : The results of the study are as follows : 1. An overwhelming majority of the examined teeth were found to possess shades belong to Group A, with the greatest variations occurring at the middle and cervical thirds of the maxillary central and lateral incisors, in both male and female subjects. 2. Canines of both male and female subjects showed left and right symmetry with uniform shade distribution of A4 and C4, while the lateral and central incisors showed left-right symmetry of the incisal 1/3 with a uniform shade distribution of A2 and A3 shades 3. No significant differences in shade distribution were seen between genders in maxillary canines, whereas maxillary central and lateral incisors showed differences at the middle and cervical thirds between male and female subjects The results of this study show that with the exception of maxillary canines, maxillary anterior teeth display a diverse shade distribution as well as gender differences. Conclusion : Clinically, when making a shade selection using the existing shade guide, one must consider the fact that even a single tooth consists of a variety of shades. The results of this study show that when selecting a shade from a number of groups is difficult, shades from A group are the most consistent with the natural shade or maxillary anterior teeth.

대학 졸업생의 직업선택과 임금 수준 (An Analysis of Job Selection, Major-Job Match and Wage Level of College Graduates)

  • 박재민
    • 기술혁신학회지
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    • 제14권1호
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    • pp.22-39
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    • 2011
  • 본 논문은 대학 졸업생의 숙련 불일치 문제에 대한 분석의 일환으로 임금으로 대표되는 노동시장성과에 대해 전공-직업 일치의 시각에서 접근한 것이다. 실증 분석에 있어서는 선행연구들에서 자주 제기되었던 표본선택편의 문제를 명시적으로 분석 과정에 반영하였고, 분석의 편의상 이항변수로 취급되었던 전공직업일치 변수도 설문조사가 제공한 다항선택변수로 설정하여 분석하였다. 특히 1982년, 1992년, 2002년 세 코호트에 대한 조사 결과를 활용하여 비교적 장기간에 걸친 노동시장의 구조적 변화도 고려하고자 하였다. 실증분석 결과, 전공일치 직업선택에 따른 표본선택편의와 전공직업일치의 임금효과를 확인할 수 있었다. 또 전공직업일치 정도와 비례해 임금프리미엄도 체증하고, 특히 전공계열별 분석을 통해 사회 계열, 공학 계열, 자연 계열에서 전공과 직업이 일치한 경우 상대적으로 높은 임금을 확인할 수 있었다. 그러나 전공 계열별로 선택편의의 영향에 차이가 있음도 볼 수 있었다. 또 1982년, 1992년, 2002년을 비교하면 1992년에 전공직업일치 경향은 급격히 낮아졌고 1992년과 2002년의 차이는 오히려 크지 않아 이 같은 숙련 불일치 현상이 상당히 오래 전부터 진행되어 온 현상임을 확인할 수 있었다.

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A Study on the Selection Attributes for Restaurant, Customer Satisfaction, and Recommendation Intention on Traveling Domestic Tourists: Targeting Tourists for Rail-ro Tickets

  • Kim, Ju-Hee;Kang, Kyoung-Ku;Lee, Jong-Ho
    • 한국조리학회지
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    • 제23권6호
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    • pp.27-35
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    • 2017
  • The purpose of this study was to examine the causal relationship among restaurant selection attributes and customer satisfaction and recommendation tastes for young people in their twenties who use tickets for Rail-ro. Data collection was conducted to utilize questionnaire survey with online and offline distribution. The collected data were analyzed using a statistical program SPSS 21.0 with frequency analysis, reliability analysis, factor analysis, and regression analysis. The results of the study showed that Internet search is the most common source of information about restaurants during the trip, and restaurant choice attributes have an important impact on customer satisfaction, food quality, employee service and reputation, but hygiene did not have a big effect on customer satisfaction. In addition, customer satisfaction has a significant effect on recommendation intention. Concluding the results from this study, it investigated the significant attributes for customers selection of restaurants and provide meaningful advice for market managers to make useful marketing strategies to attract more clients and augment economic benefits.

Multiple Group Testing Procedures for Analysis of High-Dimensional Genomic Data

  • Ko, Hyoseok;Kim, Kipoong;Sun, Hokeun
    • Genomics & Informatics
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    • 제14권4호
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    • pp.187-195
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    • 2016
  • In genetic association studies with high-dimensional genomic data, multiple group testing procedures are often required in order to identify disease/trait-related genes or genetic regions, where multiple genetic sites or variants are located within the same gene or genetic region. However, statistical testing procedures based on an individual test suffer from multiple testing issues such as the control of family-wise error rate and dependent tests. Moreover, detecting only a few of genes associated with a phenotype outcome among tens of thousands of genes is of main interest in genetic association studies. In this reason regularization procedures, where a phenotype outcome regresses on all genomic markers and then regression coefficients are estimated based on a penalized likelihood, have been considered as a good alternative approach to analysis of high-dimensional genomic data. But, selection performance of regularization procedures has been rarely compared with that of statistical group testing procedures. In this article, we performed extensive simulation studies where commonly used group testing procedures such as principal component analysis, Hotelling's $T^2$ test, and permutation test are compared with group lasso (least absolute selection and shrinkage operator) in terms of true positive selection. Also, we applied all methods considered in simulation studies to identify genes associated with ovarian cancer from over 20,000 genetic sites generated from Illumina Infinium HumanMethylation27K Beadchip. We found a big discrepancy of selected genes between multiple group testing procedures and group lasso.