• 제목/요약/키워드: local Statistics

검색결과 871건 처리시간 0.029초

향토음식의 기호도 및 속성에 대한 차이 연구 - 부산지역 대학생을 중심으로 - (A Study on the Difference in Preference and Property of Native Local Foods - Focusing on University Students in Busan Area -)

  • 박경태;백종온
    • 한국조리학회지
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    • 제14권2호
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    • pp.61-72
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    • 2008
  • The purpose of this study was to analyze the difference in preference and property of native local foods among students living in Busan. It concentrated on the students who were majored in food service in five universities in Busan. From September 1st to 30th, 2007, 300 copies of questionnaire were distributed and 260 returned were included in the statistics. The statistics was conducted by frequency analysis, T-test(average deviation verification), technical analysis and one way ANOVA for an accurate result of the study. As a result, it was found that Gayamilmyeon(M=4.42) showed the most preference for 25 native local foods of Busan(sansungmakgeoli, dongraepajeon, steamed carp, catfish soup, corbicula soup, roasted eel, gijang raw hairtail, dongrae mugwort cake, sansung roasted goat, gijangkkomjangeo, steamed frogfish, duck dish, guponoodles, gayamilmyeon, sliced raw fish, molsim hot-pepper fish stew, hairtail stew, anchovy stew, miyeoksulchi, gompi salted dish, salted raw anchovy dish, roasted kkomjaneo, salted sliced persimmon dish, salted bean leave dish, kkasiri soup). On the other hand, it was found that Miyeoksulchi(M=2.66) showed the least preference among them. As a result of the analysis of the difference in demographic characteristics and property of native local foods, it was presented that there was no difference in the statistical analysis by sex but significant difference in taste, quantity, service, price, freshness, sanitation, packing condition and originality, etc by age, department, academic year, type of residence, family member, living period in Busan and monthly spending. It was considered to conduct a more in-depth study to promote native local foods and interest in the food of Busan in university students.

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제7회 전국동시지방선거 중 기초의원선거에서의 정당 내 기호 순서와 득표 순서의 관계 분석 (Relationship between orders of signs and vote within parties in electing local district councilors during the 7th nationwide local election)

  • 김혁주
    • 응용통계연구
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    • 제31권6호
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    • pp.825-833
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    • 2018
  • 2018년 6월 13일에 실시된 제7회 전국동시지방선거 중 기초의원선거에서의 동일 정당 내의 기호 순서와 득표 순서를 분석하여 기호 순서가 득표 순서에 미치는 영향을 살펴보았다. 동일 정당의 후보가 2명인 경우와 3명인 경우, 4명인 경우로 나누어 분석하였는데, 대부분의 경우에 '가' 기호를 배정받은 후보가 동일 정당 내의 타 후보에 비해 많이 득표한 것으로 밝혀져서 대책 마련이 필요한 것으로 나타났다. 또한 더불어민주당의 정당 내 후보가 2명인 경우와 자유한국당의 정당 내 후보가 2명인 경우 관내투표와 관외사전투표 간에 투표 성향의 차이가 있는 것으로 나타났다.

Adaptive Nearest Neighbors를 활용한 판별분류방법 (Adaptive Nearest Neighbors for Classification)

  • 전명식;최인경
    • 응용통계연구
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    • 제22권3호
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    • pp.479-488
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    • 2009
  • 비모수적 판별분류방법으로 널리 사용되는 ${\kappa}$-Nearest Neighbors Classification(KNNC) 방법은 자료의 국소적 특징을 고려하지 않고 전체 자료에 대해 고정된 이웃의 개수 ${\kappa}$를 사용하여 개체를 분류하는 방법이다. 본 연구에서는 KNNC의 대안으로 자료의 국소적 특징을 고려하는 Adaptive Nearest Neighbors Classificaion(ANNC) 방법을 제안하였다. 제안된 방법의 특징을 규명하기 위하여 실제 자료에 대한 분석을 통하여 제안된 방법의 응용 가능성을 제시하였으며, 나아가 모의실험을 통하여 기존의 방법과의 효율성을 비교하였다.

Waste Database Analysis Joined with Local Information Using Decision Tree Techniques

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2005년도 춘계학술대회
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    • pp.164-173
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    • 2005
  • Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud detection, data reduction and variable screening, category merging, etc. We analyze waste database united with local information using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

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Bivariate odd-log-logistic-Weibull regression model for oral health-related quality of life

  • Cruz, Jose N. da;Ortega, Edwin M.M.;Cordeiro, Gauss M.;Suzuki, Adriano K.;Mialhe, Fabio L.
    • Communications for Statistical Applications and Methods
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    • 제24권3호
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    • pp.271-290
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    • 2017
  • We study a bivariate response regression model with arbitrary marginal distributions and joint distributions using Frank and Clayton's families of copulas. The proposed model is used for fitting dependent bivariate data with explanatory variables using the log-odd log-logistic Weibull distribution. We consider likelihood inferential procedures based on constrained parameters. For different parameter settings and sample sizes, various simulation studies are performed and compared to the performance of the bivariate odd-log-logistic-Weibull regression model. Sensitivity analysis methods (such as local and total influence) are investigated under three perturbation schemes. The methodology is illustrated in a study to assess changes on schoolchildren's oral health-related quality of life (OHRQoL) in a follow-up exam after three years and to evaluate the impact of caries incidence on the OHRQoL of adolescents.

An efficient algorithm for the non-convex penalized multinomial logistic regression

  • Kwon, Sunghoon;Kim, Dongshin;Lee, Sangin
    • Communications for Statistical Applications and Methods
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    • 제27권1호
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    • pp.129-140
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    • 2020
  • In this paper, we introduce an efficient algorithm for the non-convex penalized multinomial logistic regression that can be uniformly applied to a class of non-convex penalties. The class includes most non-convex penalties such as the smoothly clipped absolute deviation, minimax concave and bridge penalties. The algorithm is developed based on the concave-convex procedure and modified local quadratic approximation algorithm. However, usual quadratic approximation may slow down computational speed since the dimension of the Hessian matrix depends on the number of categories of the output variable. For this issue, we use a uniform bound of the Hessian matrix in the quadratic approximation. The algorithm is available from the R package ncpen developed by the authors. Numerical studies via simulations and real data sets are provided for illustration.

선거예측의 대안적 방법에 대한 사례연구 (A case study for alternative methods of election forecasting)

  • 류제복
    • 응용통계연구
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    • 제33권4호
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    • pp.499-509
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    • 2020
  • 본 연구에서는 제19대 대통령선거와 제7회 전국동시지방선거(광역단체장선거) 여론조사자료를 이용해서 후보지지율, 당선가능성 및 정당지지율의 관계를 비교, 분석하였다. 사례연구결과 당선가능성과 정당지지율을 이용해서 당선자를 예측하는 대안적 방법이 선거예측의 정확성을 높일 수 있을 것으로 기대된다.

TESTS FOR VARYING-COEFFICIENT PARTS ON VARYING-COEFFICIENT SINGLE-INDEX MODEL

  • Huang, Zhensheng;Zhang, Riquan
    • 대한수학회지
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    • 제47권2호
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    • pp.385-407
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    • 2010
  • To study the relationship between the levels of chemical pollutants and the number of daily total hospital admissions for respiratory diseases and to find the effect of temperature/relative humidity on the admission number, Wong et al. [17] introduced the varying-coefficient single-index model (VCSIM). As pointed out, it is a popular multivariate nonparametric fitting technique. However, the tests of the model have not been very well developed. In this paper, based on the estimators obtained by the local linear technique, the average method and the one-step back-fitting technique in the VCSIM, the generalized likelihood ratio (GLR) tests for varying-coefficient parts on the VCSIM are established. Under the null hypotheses the new proposed GLR tests follow the $\chi^2$-distribution asymptotically with scale constant and degree of freedom independent of the nuisance parameters, known as Wilks phenomenon. Simulations are conducted to evaluate the test procedure empirically. A real example is used to illustrate the performance of the testing approach.

Color Edge Detection using Variable Template Operator

  • Baek Young-Hyun;Moon Sung-Ryong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권2호
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    • pp.116-120
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    • 2006
  • This paper discusses an approach for detecting a new edge in color images. The color image is to be represented by a vector field, and the color image edges are detected as differences in the local vector statistics. This method is based on the calculation for the vector angle between two adjacent pixels. Unlike Euclidean distance in RGB space, the vector angle distinguishes the differences in chromaticity, independent of luminance or intensity. The proposed approach can easily accommodate concepts, such as variable template edge detection, as well as the latest developments in vector order statistics for color image processing. In this paper, it is used not a conventional fixed template operator but a variable template operator The variable template is implemented and experimental results for digital color images are included.

영상의 동적영역 확대를 위한 비대칭도 기반 적응적 Retinex 알고리즘 (Skewness based Adaptive Retinex Algorithm for Wide Dynamic Range)

  • 오종근;김범수;홍민철
    • 전기전자학회논문지
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    • 제17권4호
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    • pp.478-483
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    • 2013
  • 본 논문은 영상 표현의 동적영역 증대를 위한 적응적 Retinex 알고리즘에 대하여 제안한다. 제안 방식은 Retinex 알고리즘을 기반으로 비대칭도를 이용하여 입력 영상에 대한 밝기 정보의 왜곡을 검출하고 왜곡 성분을 국부 통계 특성을 기반으로 적응적으로 처리하였다. 특히 휘도성분에 대하여 새로운 보정함수를 적용시킴으로써 동적영역 확대를 통해 해상도를 개선하였다. 실험을 통해 휘도 성분에 대한 동적 영역 확대 및 색 왜곡 효과를 감소시키는 효과를 확인할 수 있었다.