• Journal of Integrative Natural Science
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• v.5 no.3
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• pp.157-162
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• 2012

Measurement error is one of main source of error in survey. It is generally defined as the difference between an observed value and an underlying true value. An observed value with error may be expressed as a function of the true value plus error term. In some cases, the measurement error variance may be also a function of the unknown true value. The error variance function can be rewritten as a function of true value multiplied by a scale factor. This research explore methods for estimation of the measurement error variance based on the data from complex sampling design. We consider the case in which the variance of mesurement error is a linear function of unknown true value, and the error variance scale factor is small. We applied our results to the U.S. Third National Health and Nutrition Examination Survey (the U.S. NHANES III) data for empirical analyses, which has replicate measurements for relatively small subset of initial respondents's group.

• Bulletin of the Korean Mathematical Society
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• v.60 no.4
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• pp.1101-1129
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• 2023

In this study we propose a model of optimal retirement, consumption and portfolio choice of an individual agent, which encompasses a large class of the models in the literature, and provide a methodology to solve the model. Different from the traditional approach, we consider the problems before and after retirement simultaneously and identify the difference in the dual value functions as the utility value of lifetime labor. The utility value has an option nature, namely, it is the maximized value of choosing the retirement time optimally and we discover it by solving a variational inequality. Then, we discover the dual value functions by using the utility value. We discover the value function and optimal policies by establishing a duality between the value function and the dual value function. The model and approach offer a significant advantage for computation of optimal policies for a large class of problems.

• Communications of Mathematical Education
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• v.22 no.3
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• pp.289-310
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• 2008

The purpose of study is to propose the possibilities of finding trigonometric function values using trigonometric function graphs instead of the unit circle method. And it is to discuss how to enhance relating trigonometric function value finding to graphs construction, and students conceptual understanding of the properties of trigonometric functions. The conclusions of this study are the effectiveness of function value finding using trigonometric function graphs, the use of a precise term of function value finding given general angles, consideration of a link between function value finding and graphs, and the possibility of teaching trigonometric function graphs in advance of function value finding.

• Kyungpook Mathematical Journal
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• v.55 no.2
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• pp.335-344
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• 2015

In the paper we discuss the value distribution of the product of the derivative of a transcendental meromorphic function and a power of the function.

• Korean Journal of Construction Engineering and Management
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• v.6 no.4 s.26
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• pp.122-132
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• 2005

The importance of design value engineering in construction projects recently is rising, which deal about in reduction of cost and improvement of quality. Especially, From half of this year 2005, It is predicted that the value engineering is necessary to be carried out in the projects having project cost more than 10 billion won. In increasing importance of value engineering, we require a way by which we accomplish value engineering systemically and effectively though it is not common in domestic situation. So, this case study shows a way in carrying out value engineering effectively. As the way is to apply QFD(Quality Function Deployment) in pre-study work of design value engineering, this is expected to contribute as function analysis and reflect the requirement of users or owners.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.457-468
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• 2021

This study seeks to examine the effects of fraud management accounting on organizational value creation of listed firms in Thailand through internal audit function and internal audit effectiveness as the mediators of the study. In addition, governance culture and digital capability are hypothesized to affect fraud management accounting, internal audit function, and internal audit effectiveness. The 297 listed firms in Thailand are the samples of the study. The structural equation model is applied to test the research relationships. The results of the study indicate that, firstly, fraud management accounting has an effect on internal audit function, internal audit effectiveness, and organizational value creation. Secondly, internal audit function affects both internal audit effectiveness and organizational value creation. It also mediates the fraud management accounting-organizational value creation relationships. Thirdly, internal audit effectiveness affects organizational value creation and it mediates the fraud management accounting-organizational value creation relationships. Finally, governance culture affects fraud management accounting, internal audit function and internal audit effectiveness. Accordingly, executives can support, promote and enhance the applications of fraud management accounting in an organization, and utilize its concepts as the valuable tools in order to create best organizational practices and achieve their business goals in the current and future operations.

• Asia Marketing Journal
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• v.18 no.3
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• pp.47-63
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• 2016

Rational choice theory holds that the alternative with largest expected utility in the choice set should always be chosen. However, it is often observed that an alternative with the largest expected utility is not always chosen while the choice task itself being avoided. Such a choice phenomenon cannot be explained by the traditional expected utility maximization principle. The current study posits shows that such a phenomenon can be attributed to the gap between the expected perceived gain (or loss) and the expected perceived value. This study mathematically analyses the relationship between the expectation of an alternative's gains or losses over the reference point and its expected value, when the perceived gains or losses follow continuous probability distributions. The proposed expected value (EV) function can explain the effects of loss aversion and uncertainty on the evaluation of an alternative based on the prospect theory value function. The proposed function reveals why the expected gain of an alternative should exceed some positive threshold in order for the alternative to be chosen. The model also explains why none of the two equally or similarly attractive options is chosen when they are presented together, but either of them is chosen when presented alone. The EV function and EG-EV curve can extract and visualize the core tenets of the prospect theory more clearly than the value function itself.

• The Journal of Sustainable Design and Educational Environment Research
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• v.9 no.3
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• pp.41-48
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• 2010

It has been found that implementing the function analysis is very important in terms of accomplishing successful Value Engineering(VE), and the function definition is a basic activity at design VE phase. In spite of the importance, the real function analysis activities in the VE are not regard as consequence. In this regard, this paper attempts to use the campus mater plan to lead an effective function analysis. So, the purpose of this value engineering study is to provide the criteria to develop the campus mater plan. This value engineering study used as a guide for the standardization of the campus mater plan. In addition, broader application is possible through the analysis throughout the different ways of the project.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.7 s.144
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• pp.959-967
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• 2005

The color of apparels has the interaction of the face skin colors of the wearers. This study was carried out to classify the face skin colors of Korean males into several similar face skin colors in order to extract favorable colors which flatter to their face skin colors. The criterion that select the new subjects who have the classified face skin colors have to be decided. With color spectrometer, JX-777, face skin colors of subjects were measured quantitatively and classified into three clusters that had similar hue, value and chroma with Munsell Color System. Sample size was 418 Korean males and other 15 of new males subjects. Data were analyzed by K-means cluster analysis, ANOVA, Duncan multiple range test, Stepwise discriminant analysis using SPSS Win. 12. Findings were as follows: 1. 418 subjects who have YR colors were clustered into 3 kinds of face skin color groups. 2. Discriminant variables of face skin colors was 4 variables : L value of forehead, v value of cheek, c value of forehead, and b value of cheek from standardized canonical discriminant function coefficient 1 and c value of forehead, L value of forehead, b value of cheek. and L value of cheek from standardized canonical discriminant function coefficient 2. 3. Hit ratio of type 1 was $92.3\%$, of type 2 was $96.5\%$ and of type 3 was $92.6\%$ by the canonical discriminant function of 4 variables. 4. The canonical discriminant function equation 1 and 2 were calculated with the unstandardized canonical discriminant function coefficient and constant, the cutting score, and range of the score were computed. 5. The criterion that select the new subjects who have the classified face skin colors was decided.

• Journal of Environmental Science International
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• v.13 no.4
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• pp.327-337
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• 2004

The education effect of environmental impact cognitive instruction on high school students was investigated. Environmental values of students could be classified into egocentric, social-altruistic and biospheric values like those of Schultz’s three kinds of categories. The value distribution of students consists 44.7% of egocentric and biospheric value groups and 12.5% of social-altruistic value group, respectively. The environmental function such as knowledge and skill did not show remarkable differences between value groups. The environmental value only affected the attitude function. The biospheric value group had the higher attitude function than other value groups. The environmental impact cognitive instruction enhanced the environmental functions irrespective of the value group or instruction type. However, significant variables were different according to environmental functions. Environmental functions such as knowledge and skill were influenced by the instruction itself. The attitude function was dependent on instruction itself, value type and instruction type. The optimum application of the environmental impact cognitive instruction can be efficiently achieved through class division into egocentric value group and biospheric value group. Alternatively, the proper combination of instruction methods focused biospheric and egocentric impacts in a class can be recommended.