• Title/Summary/Keyword: selection criterion

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베이즈 정보 기준을 활용한 분할-정복 벌점화 분위수 회귀 (Model selection via Bayesian information criterion for divide-and-conquer penalized quantile regression)

  • 강종경;한석원;방성완
    • 응용통계연구
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    • 제35권2호
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    • pp.217-227
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    • 2022
  • 분위수 회귀 모형은 변수에 숨겨진 복잡한 정보를 살펴보기 위한 효율적인 도구를 제공하는 장점을 바탕으로 많은 분야에서 널리 사용되고 있다. 그러나 현대의 대용량-고차원 데이터는 계산 시간 및 저장공간의 제한으로 인해 분위수 회귀 모형의 추정을 매우 어렵게 만든다. 분할-정복은 전체 데이터를 계산이 용이한 여러개의 부분집합으로 나눈 다음 각 분할에서의 요약 통계량만을 이용하여 전체 데이터의 추정량을 재구성하는 기법이다. 본 연구에서는 분할-정복 기법을 벌점화 분위수 회귀에 적용하고 베이즈 정보기준을 활용하여 변수를 선택하는 방법에 관하여 연구하였다. 제안 방법은 분할 수를 적절하게 선택하였을 때, 전체 데이터로 계산한 일반적인 분위수 회귀 추정량만큼 변수 선택의 측면에서 일관된 결과를 제공하면서 계산 속도의 측면에서 효율적이다. 이러한 제안된 방법의 장점은 시뮬레이션 데이터 및 실제 데이터 분석을 통해 확인하였다.

Selection of Variables for Response Surface Experiments with Mixtures

  • Park, Sung H.
    • Journal of the Korean Statistical Society
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    • 제6권2호
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    • pp.103-115
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    • 1977
  • A strategy for selecting subsets of variables from a given linear model in a mixture system is discussed. The purpose is to achieve better fitting surfaces for estimation of the response in an experimental region of interest. A criterion is proposed for screening variables and illustrated with an example.

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Application of the Weibull-Poisson long-term survival model

  • Vigas, Valdemiro Piedade;Mazucheli, Josmar;Louzada, Francisco
    • Communications for Statistical Applications and Methods
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    • 제24권4호
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    • pp.325-337
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    • 2017
  • In this paper, we proposed a new long-term lifetime distribution with four parameters inserted in a risk competitive scenario with decreasing, increasing and unimodal hazard rate functions, namely the Weibull-Poisson long-term distribution. This new distribution arises from a scenario of competitive latent risk, in which the lifetime associated to the particular risk is not observable, and where only the minimum lifetime value among all risks is noticed in a long-term context. However, it can also be used in any other situation as long as it fits the data well. The Weibull-Poisson long-term distribution is presented as a particular case for the new exponential-Poisson long-term distribution and Weibull long-term distribution. The properties of the proposed distribution were discussed, including its probability density, survival and hazard functions and explicit algebraic formulas for its order statistics. Assuming censored data, we considered the maximum likelihood approach for parameter estimation. For different parameter settings, sample sizes, and censoring percentages various simulation studies were performed to study the mean square error of the maximum likelihood estimative, and compare the performance of the model proposed with the particular cases. The selection criteria Akaike information criterion, Bayesian information criterion, and likelihood ratio test were used for the model selection. The relevance of the approach was illustrated on two real datasets of where the new model was compared with its particular cases observing its potential and competitiveness.

Selection on milk production and conformation traits during the last two decades in Japan

  • Togashi, Kenji;Osawa, Takefumi;Adachi, Kazunori;Kurogi, Kazuhito;Tokunaka, Kota;Yasumori, Takanori;Takahashi, Tsutomu;Moribe, Kimihiro
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권2호
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    • pp.183-191
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    • 2019
  • Objective: The purpose of this study was to compare intended and actual yearly genetic gains for milk production and conformation traits and to investigate the simple selection criterion practiced among milk production and conformation traits during the last two decades in Japan. Learning how to utilize the information on intended and actual genetic gains during the last two decades into the genomic era is vital. Methods: Genetic superiority for each trait for four paths of selection (sires to breed bulls [SB], sires to breed cows [SC], dams to breed bulls [DB], and dams to breed cows [DC]) was estimated. Actual practiced simple selection criteria were investigated among milk production and conformation traits and relative emphasis on milk production and conformation traits was compared. Results: Selection differentials in milk production traits were greater than those of conformation traits in all four paths of selection. Realized yearly genetic gain was less than that intended for milk production traits. Actual annual genetic gain for conformation traits was equivalent to or greater than intended. Retrospective selection weights of milk production and conformation traits were 0.73:0.27 and 0.56:0.44 for intended and realized genetic gains, respectively. Conclusion: Selection was aimed more toward increasing genetic gain in milk production than toward conformation traits over the past two decades in Japan. In contrast, actual annual genetic gain for conformation traits was equivalent to or greater than intended. Balanced selection between milk production and conformation traits tended to be favored during actual selection. Each of four paths of selection (SB, SC, DB, and DC) has played an individual and important role. With shortening generation interval in the genomic era, a young sire arises before the completion of sire's daughters' milk production records. How to integrate these four paths of selection in the genomic era is vital.

The status and development of bilateral international cooperation in the forestry sector: the selection of priority partner countries for Korea's REDD+ programs

  • Kim, Ki Hyun;Lee, Bohwi;Kim, Sebin
    • 농업과학연구
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    • 제47권4호
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    • pp.1083-1096
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    • 2020
  • Global attention to the greenhouse gas emissions from deforestation and forest degradation is increasing. There is a growing recognition of reducing emission from deforestation and forest degradation plus (REDD+) as an effective way to reduce greenhouse gas emissions in the forestry sector. The Republic of Korea is implementing REDD+ pilot projects in four Southeast Asian countries as part of its efforts to reduce greenhouse gas emissions. This study evaluates countries with the potential to become priority partner countries for Korea's REDD+ programs, using the following five criteria: The first criterion is that a country should include the forest sector and REDD+ in its national plan for reducing greenhouse gas (GHG) emissions. The second and third criteria refer to an average forest coverage rate of over 44% and a forest change rate of over - 0.1%, among the countries with forest cover of more than 10 million ha. The fourth criterion is that the country should meet the Forest Reference Emission Level requirements, one of the four elements of the Warsaw REDD+ Framework. The fifth criterion is that the country should have bilateral relations with the Republic of Korea in forestry while at the same time be a partner country for cooperation on climate change as well as a REDD+ pilot country. Based on our evaluation, we conclude that the first priority countries are Indonesia, Cambodia, and Myanmar. The second priority countries include Brazil, Ecuador, and Peru. Finally, the third priority countries are Columbia, Congo, and Mozambique. This study suggests that for the selection of priority partner countries, Korean REDD+ programs should center on existing REDD+ pilot countries.

The Optimal Bispectral Feature Vectors and the Fuzzy Classifier for 2D Shape Classification

  • Youngwoon Woo;Soowhan Han;Park, Choong-Shik
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.421-427
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    • 2001
  • In this paper, a method for selection of the optimal feature vectors is proposed for the classification of closed 2D shapes using the bispectrum of a contour sequence. The bispectrum based on third order cumulants is applied to the contour sequences of the images to extract feature vectors for each planar image. These bispectral feature vectors, which are invariant to shape translation, rotation and scale transformation, can be used to represent two-dimensional planar images, but there is no certain criterion on the selection of the feature vectors for optimal classification of closed 2D images. In this paper, a new method for selecting the optimal bispectral feature vectors based on the variances of the feature vectors. The experimental results are presented using eight different shapes of aircraft images, the feature vectors of the bispectrum from five to fifteen and an weighted mean fuzzy classifier.

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다중 사용자 MIMO 채널 환경에서 셀 용량을 증가시키는 사용자 선택 기법 (An User Selection Scheme Enhancing Cell Capacity for Multi-user MIMO Channel Environment)

  • 정재호;최승원
    • 한국통신학회논문지
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    • 제36권1C호
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    • pp.22-27
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    • 2011
  • 본 논문에서는 하향링크 다중 사용자 Multiple Input Multiple Output (MIMO)채널 환경에서 셀 용량을 증가시키기 위한 Zero Forcing 기반의 효율적 사용자 선택 기법을 제안한다. 이 기법에서는 채널 전력이 미리 결정된 한계점을 초과하는 사용자들을 주요 그룹으로 구성한다. 100명의 사용자와 4개의 기지국 안테나를 가정한 컴퓨터 모의실험을 통해서 제안된 기법이 기존 기법보다 0.33 bps/Hz 만큼 젤 용량을 추가로 제공할 수 있음이 밝혀졌다.

Transmit Antenna Selection for Quadrature Spatial Modulation Systems with Power Allocation

  • Kim, Sangchoon
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.98-108
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    • 2020
  • We consider transmit antenna selection combined with power allocation for quadrature spatial modulation (QSM) systems to improve the error rate performance. The Euclidean distance-based joint optimization criterion is presented for transmit antenna selection and power allocation in QSM. It requires an exhaustive search and thus high computational complexity. Thus its reduced-complexity algorithm is proposed with a strategy of decoupling, which is employed to successively find transmit antennas and power allocation factors. First, transmit antennas are selected without considering power allocation. After selecting transmit antennas, power allocation factors are determined. Simulation results demonstrate considerable performance gains with lower complexity for transmit antenna selected QSM systems with power allocation, which can be achieved with limited rate feedback.

A Comparative Study of Korean and the US College Female Students′ Clothing Buying Behavior

  • Hwang, Choon-Sup;Kim, Sun-Ah
    • International Journal of Costume and Fashion
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    • 제4권
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    • pp.47-61
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    • 2004
  • This study analyzed the buying patterns of American and Korean female college students in terms of criteria for clothing selection; store preferences; criteria for store selection; fashion information sources; expressions of customer dissatisfaction; purchasing frequency and motivations for purchasing clothes. The study was implemented through self-administered questionnaires which were back translated for validity. The samples consisted of 730 female college students majoring in the fields related to clothing and textiles: 310 U.S. and 412 Korean students. Likert scales were used for most measures with 1=never or very unimportant and 5=always or very important. Data were analyzed by factor analysis, analysis of covariance, Duncans multiple comparison, and t-test. Results are as follows: 1) Design factor was the most important criteria in clothing selection with no differences between country groups. There were, however, significant differences for psychological exhibition factors, practical and economic factors. 2) Both groups preferred specialty and department stores, with department stores more popular in Korea. 3) Merchandise was the most important store selection criterion and fashion magazines and self-experience were rated as the most important information sources for the both groups. 4) Korean group expressed their dissatisfaction with and observable problem with a product before purchase more often than U.S. group, but the U.S. group was more vocal about color loss or shrinkage after care procedures. 5) Some clear differences between the two countries emerged. Marketers targeting American consumers should pay more attention to practicality and service; to Korean consumers more symbolic meaning of products.