• Title/Summary/Keyword: Intrinsic mean

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REMARKS ON CONVERGENCE OF INDUCTIVE MEANS

  • PARK, JISU;KIM, SEJONG
    • Journal of applied mathematics & informatics
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    • v.34 no.3_4
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    • pp.285-294
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    • 2016
  • We define new inductive mean constructed by a mean on a complete metric space, and see its convergence when the intrinsic mean is given. We also give many examples of inductive matrix means and claim that the limit of inductive mean constructed by the intrinsic mean is not the Karcher mean, in general.

Default Bayesian testing for normal mean with known coefficient of variation

  • Kang, Sang-Gil;Kim, Dal-Ho;Le, Woo-Dong
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.2
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    • pp.297-308
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    • 2010
  • This article deals with the problem of testing mean when the coefficient of variation in normal distribution is known. We propose Bayesian hypothesis testing procedures for the normal mean under the noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Specially, we develop intrinsic priors which give asymptotically same Bayes factor with the intrinsic Bayes factor under the reference prior. Simulation study and a real data example are provided.

Fractionated Stereotactic Radiotherapy in Pediatric Diffuse Intrinsic Brain Stem Gliomas

  • Choi, Woo-Jin;Yee, Gi-Taek;Han, Seong-Rok;Yoon, Sang-Won;Lee, Dong-Joon;Whang, Choong-Jin
    • Journal of Korean Neurosurgical Society
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    • v.40 no.3
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    • pp.154-158
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    • 2006
  • Objective : We treated 10 pediatric diffuse intrinsic brain stem glioma[BSG] patients with Novalis system [linac based radiotherapy unit, Germany] and examined the efficacy of the Fractionated Stereotactic Radiotherapy[FSRT]. Methods : A retrospective review was conducted on 10 pediatric diffuse intrinsic BSG patients who were treated with FSRT between May, 2001 and August, 2004. The mean age of the patient group was 7.7 years old. Male to female ratio was 4 to 1. The mean dose of FSRT was 38.7Gy, mean fractionated dose was 2.6Gy, mean fractionation size was 16.6, and target volume was $42.78cm^3$. The mean follow up period was 14 months. Results : Four weeks after completion of FSRT, improvements on neurological status and Karnofsky performance scale[KPS] score were recorded in 9/10 (90%] patients and magnetic resonance imaging[MRI] showed decrease in target tumor volume in 8 pediatric patients. The median survival period was 13.5 months after FSRT and treatment toxicity was mild. Conclusion : It is difficult for surgeons to choose surgical treatment for diffuse intrinsic BSG due to its dangerous anatomical structures. FSRT made it possible to control the tumor volume to improve neurological symptoms with minimal complications. We expect that FSRT is a feasible treatment modality for pediatric diffuse intrinsic BSG with tolerable toxicities.

Default Bayesian testing on the common mean of several normal distributions

  • Kang, Sang-Gil;Kim, Dal-Ho;Lee, Woo-Dong
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.3
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    • pp.605-616
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    • 2012
  • This article deals with the problem of testing on the common mean of several normal populations. We propose Bayesian hypothesis testing procedures for the common normal mean under the noninformative prior. The noninformative prior is usually improper and yields a calibration problem that makes the Bayes factor to be defined u to a multiplicative constant. So we propose the default Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factors under the reference priors. Simulation study and an example are provided.

Development of an energy and efficiency calibration method for stilbene scintillators

  • Kim, Chanho;Kim, Jaehyo;Hong, Wooseong;Yeom, Jung-Yeol;Kim, Geehyun
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3833-3840
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    • 2022
  • A method for calibrating the energy scale and detection efficiency of stilbene scintillators is presented herein. This method can be used to quantitatively analyze the Compton continuum of gamma-ray spectra obtained using such scintillators. First, channel-energy calibration was conducted by fitting a semi-empirical equation for the Compton continuum to the acquired energy spectrum and a new method to evaluate the intrinsic detection efficiency, called intrinsic Compton efficiency, of stilbene scintillators was proposed. The validity of this method was verified by changing experimental conditions such as the number of sources being measured simultaneously and the detector-source distance. According to the energy calibration, the standard error for the estimated Compton edge position was ±1.56 keV. The comparison of the intrinsic Compton efficiencies calculated from the single- and two-source spectra showed that the mean absolute difference and the mean absolute percentage difference are 0.031 %p and 0.557%, respectively, demonstrating reasonable accuracy of this method. The feasibility of the method was confirmed for an energy range of 0.5-1.5 MeV, showing that stilbene scintillators can be used to quantitatively analyze gamma rays in mixed-radiation fields.

A Study on the Work Value of University Students Majoring in Health Care Management (일부지역 보건의료계열 대학생들의 직업가치관 구성요인에 대한 연구)

  • Park, Hyun-Suk
    • The Korean Journal of Health Service Management
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    • v.5 no.4
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    • pp.95-111
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    • 2011
  • The purpose of this study was to explore and analyse the work value of university students majoring in health care management. The subjects of this study were 300 students. Maryland Work Value Inventory was used and the data were collected using a structured and self-administrated questionnaire. As a result of factor analysis, the following results were obtained. First, the work value consists of six factors (financial remuneration, social status, social contribution, capability, achievement, proper pride) and it can be classified extrinsic work value (financial remuneration, social status) and intrinsic work value(social contribution, capability, achievement, proper pride). Second, The mean extrinsic work value(4.16) was higher than the mean intrinsic work value(3.80). The preference order of the work value was like this; financial remuneration(4.36) the first, achievement(4.05), social status(3.96), proper pride(3.93), capability(3.78), and social contribution(3.45) the last. Third, the mean of the economic stability in extrinsic work value was the highest. The factors meaningfully relating with intrinsic work value were age, school grade and the experience of job. Forth, as a result of regression analysis, the more school grade they have, the less extrinsic work value and the less their mother's level of education, the higher extrinsic work value.

The Effects of Intrinsic Motivation, and e-Learning Strategies on Learning Satisfaction of Nursing Students in Blended e-Learning Environment (블렌디드 이러닝(Blended e-learning)환경에서 간호대학생의 내재동기, 이러닝 학습전략이 학습만족도에 미치는 영향)

  • Han, Ji-Young
    • The Journal of Korean Academic Society of Nursing Education
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    • v.19 no.1
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    • pp.16-23
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    • 2013
  • Purpose: The purpose of this study was to examine the effects of intrinsic motivation and e-learning strategies on nursing students' learning satisfaction in blended e-learning environment. Method: The survey was performed with 111 undergraduate nursing students who have taken community health nursing in 1 university. The data was collected by questionnaires and were analyzed with the IBM SPSS statistics 20.0, using descriptive statistics, Pearson's correlation coefficient and multiple regression. Results: The mean score for intrinsic motivation was 3.25, for e-learning strategies, 3.56, and for learning satisfaction, 3.69. Significant positive correlation among intrinsic motivation, e-learning strategies, and learning satisfaction. The regression model explained 41.4% of learning satisfaction. Both intrinsic motivation and e-learning strategies were significant predictor of learning satisfaction. Conclusion: In order to improve the learners' learning achievement and learning satisfaction in blended e-learning environment, intrinsic motivation should be strengthen and e-learning strategies should be developed.

The Effects of Self Development Training on the Human Relationship and Intrinsic Motivation of the First-Line Nurse Managers (자기 개발 훈련이 일선 간호 관리자의 인간 관계와 내재적 모티베이션에 미치는 영향)

  • 고명숙
    • Journal of Korean Academy of Nursing
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    • v.33 no.1
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    • pp.130-137
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    • 2003
  • Purpose: The purpose of this study was to examine the effects of Self-Development training on the Human Relationship and Intrinsic Motivation for first-line nurse managers. Method: This was an empirical study on the Human Relationship and Intrinsic Motivation of Self Development Training. The researcher developed a new Self-Development Training Program, and the two-hour long training session was performed twice a week for each group. The program was performed for 4 session in two weeks. The subjects consisted with 24 nurse managers from C University Hospital in Seoul, Korea. The subjects were divided into two groups for the training. Two weeks before and 4 weeks after the training, subjects completed questionnaires that measured Human Relationship and Intrinsic Motivation. Analysis was completed by using SPSS PC 10.0 for percentile, mean, standard deviation and paired t-test. Result: The results of this study showed that Self-Development Training Program resulted in a significant effects on the Human Relationship. But the Intrinsic Motivation was not significantly affected by the program. Conclusion: This Self-Development training program had a positive effect on the Human Relationship and Intrinsic Motivation.

Geodesic Clustering for Covariance Matrices

  • Lee, Haesung;Ahn, Hyun-Jung;Kim, Kwang-Rae;Kim, Peter T.;Koo, Ja-Yong
    • Communications for Statistical Applications and Methods
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    • v.22 no.4
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    • pp.321-331
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    • 2015
  • The K-means clustering algorithm is a popular and widely used method for clustering. For covariance matrices, we consider a geodesic clustering algorithm based on the K-means clustering framework in consideration of symmetric positive definite matrices as a Riemannian (non-Euclidean) manifold. This paper considers a geodesic clustering algorithm for data consisting of symmetric positive definite (SPD) matrices, utilizing the Riemannian geometric structure for SPD matrices and the idea of a K-means clustering algorithm. A K-means clustering algorithm is divided into two main steps for which we need a dissimilarity measure between two matrix data points and a way of computing centroids for observations in clusters. In order to use the Riemannian structure, we adopt the geodesic distance and the intrinsic mean for symmetric positive definite matrices. We demonstrate our proposed method through simulations as well as application to real financial data.

Bayesian Test for the Equality of Gamma Means

  • Kang, Sang-Gil
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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    • pp.1413-1425
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    • 2006
  • When X and Y have independent gamma distributions, we develop a Bayesian procedure for testing the equality of two gamma means. The reference prior is derived. Using the derived reference prior, we propose a Bayesian test procedure for the equality of two gamma means using fractional Bayes factor and intrinsic Bayes factor. Simulation study and a real data example are provided.

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