• Title/Summary/Keyword: Journal Selection

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A Note on Parametric Bootstrap Model Selection

  • Lee, Kee-Won;Songyong Sim
    • Journal of the Korean Statistical Society
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    • v.27 no.4
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    • pp.397-405
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    • 1998
  • We develop parametric bootstrap model selection criteria in an example to fit a random sample to either a general normal distribution or a normal distribution with prespecified mean. We apply the bootstrap methods in two ways; one considers the direct substitution of estimated parameter for the unknown parameter, and the other focuses on the bias correction. These bootstrap model selection criteria are compared with AIC. We illustrate that all the selection rules reduce to the one sample t-test, where the cutoff points converge to some certain points as the sample size increases.

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Embryo Transfer and Its Effects on Dairy Cattle Improvement (수정란이식과 젖소의 개량효과)

  • 정진관
    • Journal of Embryo Transfer
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    • v.2 no.1
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    • pp.22-26
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    • 1987
  • When the dairy cattle are genetically improved by embryo transfer, generation intervals can be reduced since sires are selected by their full-sister's records rather than by their daughter's records and selection intensity increases because only donor cows and sires for them are selected. In addition by embryo transfer many number of full-sisters and full-sisters are produced at the same time, resulting in the increase in the accuracy of selection.

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MICHAEL'S SELECTION THEORIES AND THEIR APPLICATIONS

  • CHO, MYUNG HYUN
    • Honam Mathematical Journal
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    • v.20 no.1
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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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Evolutionary Genetic Models of Mental Disorders (정신장애의 진화유전학적 모델)

  • Park, Hanson
    • Korean Journal of Biological Psychiatry
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    • v.26 no.2
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    • pp.33-38
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    • 2019
  • Psychiatric disorder as dysfunctional behavioural syndrome is a paradoxical phenomenon that is difficult to explain evolutionarily because moderate prevalence rate, high heritability and relatively low fitness are shown. Several evolutionary genetic models have been proposed to address this paradox. In this paper, I explain each model by dividing it into selective neutrality, mutation-selection balance, and balancing selection hypothesis, and discuss the advantages and disadvantages of them. In addition, the feasibility of niche specialization and frequency dependent selection as the plausible explanation about the central paradox is briefly discussed.

Project Selection & Evaluation System Design and Implementation-Literature Review and Case Study- (연구과제 선정.평가 체계설계에 관한 연구)

  • 용세중;최덕출;한종우;정용훈;이원영
    • Journal of Technology Innovation
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    • v.2 no.1
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    • pp.116-141
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    • 1994
  • This paper presents a model for R&D project selection and evaluation system design developed through literature review. The model emphasizes the fitness between the five elements of the system : evaluation phase and purpose, personnel and organization, evaluation critiria and decision model, evaluation form and procedure, and projects. The model was applied in real situation as a test case. The important findings are that a good project selection and evaluation model contributes only partially to the effectiveness of the project selection and that system development and implementation activity is a dynamic and multi-facetted learning process.

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SELECTION THEOREMS WITH n-CONNECTDENESS

  • In-Sook Kim
    • Journal of the Korean Mathematical Society
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    • v.35 no.1
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    • pp.165-175
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    • 1998
  • We give a generalization of the selection theorem of Ben-El-Mechaiekh and Oudadess to complete LD-metric spaces with the aid of the notion of n-connectedness. Our new selection theorem is used to obtain new results of fixed points and coincidence points for compact lower semicontinuous set-valued maps with closed values consisting of D-sets in a complete LD-metric space.

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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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    • v.14 no.4
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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.

Donor Selection, Management, and Procurement for Lung Transplantation

  • Yu, Woo Sik;Son, JeongA
    • Journal of Chest Surgery
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    • v.55 no.4
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    • pp.277-282
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    • 2022
  • Lung transplantation is a life-saving procedure in patients with end-stage lung disease. However, it inherently depends on the availability of donor organs. The selection of suitable lungs for transplantation, management of donors to minimize further injury and improve organ function, and safe procurement remain critical for successful transplantation. In this review, we provide an update on the current understanding of donor selection, management, and lung procurement.

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

  • Ma, Yingying;Sun, Luping
    • Asia Marketing Journal
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    • v.16 no.3
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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.

Predicting the rate of inbreeding in populations undergoing four-path selection on genomically enhanced breeding values

  • Togashi, Kenji;Adachi, Kazunori;Kurogi, Kazuhito;Yasumori, Takanori;Watanabe, Toshio;Toda, Shohei;Matsubara, Satoshi;Hirohama, Kiyohide;Takahashi, Tsutomu;Matsuo, Shoichi
    • Animal Bioscience
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    • v.35 no.6
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    • pp.804-813
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    • 2022
  • Objective: A formula is needed that is practical for current livestock breeding methods and that predicts the approximate rate of inbreeding (ΔF) in populations where selection is performed according to four-path programs (sires to breed sons, sires to breed daughters, dams to breed sons, and dams to breed daughters). The formula widely used to predict inbreeding neglects selection, we need to develop a new formula that can be applied with or without selection. Methods: The core of the prediction is to incorporate the long-tern genetic influence of the selected parents in four-selection paths executed as sires to breed sons, sires to breed daughters, dams to breed sons, and dams to breed daughters. The rate of inbreeding was computed as the magnitude that is proportional to the sum of squared long-term genetic contributions of the parents of four-selection paths to the selected offspring. Results: We developed a formula to predict the rate of inbreeding in populations undergoing four-path selection on genomically enhanced breeding values and with discrete generations. The new formula can be applied with or without selection. Neglecting the effects of selection led to underestimation of the rate of inbreeding by 40% to 45%. Conclusion: The formula we developed here would be highly useful as a practical method for predicting the approximate rate of inbreeding (ΔF) in populations where selection is performed according to four-path programs.