• Title/Summary/Keyword: Z-score

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A Study on the Regional Difference of Obesity in the Social Vulnerabilities -Focused on the Suwon City (사회취약계층 비만의 지역 격차에 관한 연구 -수원시를 중심으로)

  • Kim, Han-Yee;Kim, Yong-Jin
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.682-689
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    • 2019
  • This study aims to spatialize the gap between obesity levels through the body mass index, an objective indicator of the level of health among vulnerable people. Thus, areas where the BMI showed cluster patterns with spatial high and low values were extracted and the characteristics of the region were analyzed. The analysis showed that the I statistics for the obesity rate were 0.07 and the z-score was 4.39, confirming spatial autocorrelation. For z-score, it was much larger than the maximum threshold of 2.57. This means that the rate of obesity among the socially vulnerable is regional, and this gap is spatially significant. The results of comparing and analyzing the local environment for these areas of obesity and health care were found to be areas with poor public transportation, less readily available parks, and a concentration of single and multi-generation housing. The analysis results of this study are meaningful in that they provide spatial implications for the health of the socially vulnerable class that previous studies have neglected.

Improvement of Low Bone Mineral Density Treated with Jeopgol-tang in a Middle-Aged Man: A Case Report (중년 남성에서 접골탕 투여 후 개선된 골밀도에 관한 증례 보고)

  • Won, Jiyoon;Choi, Youngjin;Lee, Byung-Cheol;Lee, Hyangsook
    • The Journal of Korean Medicine
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    • v.42 no.2
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    • pp.90-97
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    • 2021
  • Bone mineral density (BMD) is a major diagnostic marker for bone health. A 44-year-old male had BMD of 0.81 g/cm2 (Z-score: -3.1) in lumbar spine scan and 0.54 g/cm2 (Z-score: -2.7) for femoral neck from regular medical checkup in Apr 2020. He had no other specific medical conditions except hyperlipidemia and alcohol was a single risk factor for fracture according to Fracture Risk Assessment Tool. After he was diagnosed with liver-kidney deficiency and treated for 20 weeks with Jeopgol-tang originally patented for promoting fracture recovery, lumbar spine BMD increased by 13.6 % (0.92 g/cm2, Z-score: -2.1) and femoral neck BMD by 22.2% (0.66 g/cm2, Z-score: -1.8) compared with those of Mar 2020. Herbal medicine treatment for tonifying liver and kidney to improve BMD warrants further investigation.

The Analysis of BMD in Forearm and Hip Joint with DEXA (DEXA에 의한 아래팔과 엉덩관절의 골밀도 분석)

  • Lee, Kwang-Sung;Park, Ui-Su;Jeon, Min-Cheol
    • The Journal of the Korea Contents Association
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    • v.15 no.3
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    • pp.168-173
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    • 2015
  • Use of forearm and hip joint bone density scan and find the clinical usefulness of the results that can be inferred as a result of any other region sites injured by a correction factor which if One part up. Groups of 60 patients, 10 patients by age 20-70 were composed of patients measured with the forearm and lumbar spine bone mineral density T-score and Z-score of the survey for each of the three factors that it was Find the correction factor to obtain the relationship. Bone mineral density of the correlation coefficient R = 0.8 correction factor is Y = 1.341X + 0.146. T-score of correlation coefficient R = 0.804 and the correction factor Y = 0.565X - 0.327 is Z-score of the correlation coefficient R = 0.637 correction factor Y = 0.539X - 0.225. It is regarded that there will be a clinical availability which can analogize the result of a part by using the result of the other part. It will be able to determine an auxiliary role in the clinical diagnosis. Correction factor to the equation Y = 1.341X + 0.146 is recommended.

R&D Financing through Cash and Cash Equivalents in Firms under Financial Distress (재정적으로 어려움에 처한 기업의 현금성 자산을 이용한 R&D 자금 조달에 대한 실증 분석)

  • Lee, A-Ram;Cho, Seong-Pyo;Seo, Ran-Ju
    • Journal of Technology Innovation
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    • v.19 no.2
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    • pp.25-51
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    • 2011
  • This study examine the firms fund R&D expenditures through cash and cash equivalents under financial distress in order to avoid huge adjustment costs that can be brought after R&D expenditures cut-down. Other study divided the firms' financial condition by only firms' year. This study identifies the firms' financial condition not only by a firm's year but also by firm size and Altman's Z-Score and K-Score. The results show that there are statistically negative relationship between R&D expenditures and cash and cash equivalents when firms are under financial distress. The results are same regardless of criteria of classification of firms' financial condition, which is consistent to the hypothesis. Young and small firms and firms with moderate possibility of bankruptcy fund R&D expenditures through cash and cash equivalent compared to the other firms. We can find the new evidence when we classify the firm by Z-Score and K-Score of Altman. The firms with high possibility of bankruptcy can not fund for R&D activities from cash, but only the firms with moderate possibility of bankruptcy fund R&D expenditures through cash and cash equivalent in the condition of financial distress. The evidence suggests that firms fund R&D expenditures by cash and cash equivalent when they are under financial distress. Findings provide an implication on the management of R&D expenditures and liquidity in the firms.

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Comparison of evaluation measures for classification models on binary data (이진자료 분류모형에 대한 평가측도의 특성 비교)

  • Kim, Byungsoo;Kwon, Soyoung
    • The Korean Journal of Applied Statistics
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    • v.32 no.2
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    • pp.291-300
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    • 2019
  • This study investigates the characteristics of evaluation measures for classification models on a binary response variable in order to evaluate their suitability for use. Six measures are considered: Accuracy, Sensitivity, Specificity, Precision, F-measure, and the Heidke's skill score (HSS). Evaluation measures are reformulated using x(ratio of actually 1), y(ratio predicted by 1), z(ratio of both actual and predicted by 1) from the confusion matrix. We suggest two necessary conditions to assess the suitability of the evaluation measures. The first condition is that the measure function is constant for x and y in the case of a random model. The second condition is that the measure function is increasing for z and decreasing for x and y. Since only HSS satisfies the two conditions, that is always appropriate as an evaluation measure for the classification model on the binary response variable, and the other measures should be used within a limited range.

The Effects of Bancassurance on the Stability and Efficiency of Banks: A Simulation Study (방카슈랑스 확대에 따른 은행의 안전성 및 효율성 변화 분석)

  • Na, Dongmin
    • KDI Journal of Economic Policy
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    • v.28 no.1
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    • pp.49-93
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    • 2006
  • This paper conducts an empirical analysis on the effects of bancassurance on stability and efficiency of the Korean banking industry. The stability and the efficiency are measured using Z-score and composite functional form based on the annual data of 2000 to 2004 for all domestic banks and insurance companies. The stability test indicates that expansion of bancassurance decreases the stability of banks. Furthermore, the efficiency test implies that with the extension of bancassurance, the cost efficiency declines while revenue efficiency rises, which results in an overall increase of profit efficiency.

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Exploring the Health Production Model in Vietnam

  • NGUYEN, Tuyen Thi Mong;NGUYEN, Quyen Le Hoang Thuy To
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.391-397
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    • 2021
  • One of the sustainable development goals is to promote good health and well-being for all people. Child health is a top priority since their health issues can have a detrimental impact on human capital development, which is a critical input for the growth model. This paper applies the health production model to explore the determinants that influence the health of children under the age of five. The results of a survey of 203 households in Ho Chi Minh City, Vietnam, were examined. Child health is measured using anthropometric indicators such as weight-for-age, height-for-age, and weight-for-height (ZWFH). Three separate multinomial logistic models are regressed to examine the drivers of child health as proxied by z-score weight for age, z-score height for age, and z-score weight for height. The significance of input variables relating to a child's attributes, household, and environment was validated by the findings. The inclusion of overweight besides under-nourished indexes is novel because it reflects the current trend of child over-nutrition. The findings of the study highlight the importance of a wide range of initiatives to enhance child health. Moreover, the genetic effect is found to be crowded out by environmental and household factors. The finding verifies that despite their parents' moderate height, the future generation of Vietnamese can achieve the desired height.

The Impact of Financial Distress on Cash Holdings in Indonesia: Does Business Group Affiliation Matter?

  • HADJAAT, Michael;YUDARUDDIN, Rizky;RIADI, Sukisno Selamet
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.373-381
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    • 2021
  • This study aims to investigate the impact of financial distress on the cash holding of non-financial companies in Indonesia as the largest emerging economy among ASEAN countries. Furthermore, the sub-sample business group to be investigated were divided into two, groups namely affiliated and non-affiliated groups. This was carried out to ascertain the difference in the impact of financial distress on cash holding between both groups. Sample collection was based on all firms listed on the Indonesian Stock Exchange (IDX) during 2008-2017, comprising 137 firms. The results showed that using the two-step system Generalized Method of Moments (GMM), the coefficients for financial distress (Z-Score) indices were positive and significant for all models. Therefore, the higher the Z-Score value, the lower the company's financial distress and vice versa. This implies that the lower the company's financial distress, the lower the cash holding. Furthermore, a positive and significant impact of the Z-Score on cash holding for non-affiliated groups was discovered. This implies that there are differences in the amount of cash holding between affiliated and non-affiliated groups. This result indicates that non-affiliated groups hold more cash during financial distress. However, these results had cash policy implications, particularly for non-affiliated groups.

Estimation and Prediction of Financial Distress: Non-Financial Firms in Bursa Malaysia

  • HIONG, Hii King;JALIL, Muhammad Farhan;SENG, Andrew Tiong Hock
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.1-12
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    • 2021
  • Altman's Z-score is used to measure a company's financial health and to predict the probability that a company will collapse within 2 years. It is proven to be very accurate to forecast bankruptcy in a wide variety of contexts and markets. The goal of this study is to use Altman's Z-score model to forecast insolvency in non-financial publicly traded enterprises. Non-financial firms are a significant industry in Malaysia, and current trends of consolidation and long-term government subsidies make assessing the financial health of such businesses critical not just for the owners, but also for other stakeholders. The sample of this study includes 84 listed companies in the Kuala Lumpur Stock Exchange. Of the 84 companies, 52 are considered high risk, and 32 are considered low-risk companies. Secondary data for the analysis was gathered from chosen companies' financial reports. The findings of this study show that the Altman model may be used to forecast a company's financial collapse. It dispelled any reservations about the model's legitimacy and the utility of applying it to predict the likelihood of bankruptcy in a company. The findings of this study have significant consequences for investors, creditors, and corporate management. Portfolio managers may make better selections by not investing in companies that have proved to be in danger of failing if they understand the variables that contribute to corporate distress.

A Comparative Study on Methods for Outlier Test of Rainfall in Korea (국내 강우의 이상치검정 방법의 비교 연구)

  • Lee, Jung Sik;Shin, Chang Dong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.359-359
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    • 2018
  • 이상치는 표본자료에서 크게 어긋나 다른 자료들로부터 떨어져 표시되는 자료로써, 실제로 발생할 확률이 매우 낮은 자료로 정의되고 있다. 설계홍수량을 산정하기 위하여 적용하고 있는 극치계열의 연최대치 강우자료에는 기계오작동 및 엔지니어의 표독오류가 발생하고 있으며, 기후변화에 따른 거대태풍 및 국지적인 집중호우 발생 등으로 인한 극치값 등에서 이상치가 관측되고 있다. 통상 이상치들은 통계분석시 자료 본연의 특성을 왜곡시켜 편향된 결과를 산정할 수 있으므로 빈도해석시 이상치해석 절차를 수행하여 자료의 적정성을 확인하여야 한다. 현재 실무에서는 설계홍수량 산정요령과 하천설계기준 해설 등에서 관련 내용을 기술하고 있지만, 국내 강우자료의 기록연수의 부족으로 인하여 빈도해석시 이상치 해석이 미수행되고 있어 이상치에 따른 자료편의가 발생하면 결과물인 확률강우량이 왜곡되게 산정될 수 있다. 따라서, 본 연구에서는 국내 주요 도시의 강우자료를 이용하여 이상치검정을 수행하였다. 대상지점으로는 서울, 부산, 대전, 대구, 인천, 광주, 울산 등의 비교적 긴 관측년수를 보유하고 있는 광역시를 선정하였으며, 지속기간은 10분, 1~24시간의 25개 강우자료를 적용하였다. 이상치검정 방법으로는 타 방법에 비하여 이상치 검정력이 뛰어난 것으로 알려진 2가지 방법을 채택하였으며, 표본자료의 평균과 표준편차로 표준화된 z값을 이용하여 상 하 한계선를 초과하는 값을 확인하는 z-Score 방법중 향상된 중위수 절대편차(MAD)에 의한 수정 z-Score 방법(Hoaglin, 1993)과 Box-Plot 방법(Tukey, 1969)을 적용하였다. Box-Plot 방법(Tukey, 1969)은 전체 자료를 25%씩 사분위로 구분하는 방법으로 정렬된 자료계열을 중앙값, 박스, 수염(whiskers), 이상치로 구분한다. 정렬된 25~75% 값들을 박스로 포함하여 외곽의 수염값들을 이상치로 분류하며, 특히 사분위수의 도식화로 데이터의 분포를 파악하기 좋으며, 이상치들의 위치와 자료의 비대칭 여부를 쉽게 파악할 수 있다. 본 연구의 수행으로 수정 z-Score 방법의 경우에는 서울과 대구지점에는 이상치가 없으며, 부산지점에는 13개, 대전지점 7개, 인천지점 5개, 광주지점 32개, 울산지점 26개가 나타났다. Box-Plot 방법으로는 서울지점 35개, 부산지점 39개, 대전지점 32개, 대구지점 38개, 인천지점 51개, 광주지점 61개, 울산지점 65개의 이상치가 분석되었다. 연구를 수행한 결과, 수정 z-Score 방법에 비하여 Box-Plot 방법에 의한 이상치가 더 많이 발생하였으며, 각각의 방법으로 지속기간 및 연도별 이상치 발생자료를 확인하였다. 방법별 이상치 발생현황 등을 분석하여 지점별 발생횟수를 분석하였으며, 추후 지점 및 자료의 보완이 수행되면 활용성을 증대시킬 수 있을 것으로 판단된다.

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