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심정희 한국의류학회 2001 한국의류학회지 Vol.25 No.8
The purpose of this study was to classify and analyze the somatotype of early middle-aged women and to provide it's total data for clothing construction, and to improve clothing culture. The subjects were 277 early middle-aged women between 35 and 44 years old. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and discriminant analysis. The results were as follows; 1. The result of factor analysis indicated that 10 factors were extracted through factor analysis and those factors comprised 86.13 percent of total variance. 2. Using factor scores, cluster analysis was carried out and the subject were classified into 4 cluster. Type 1 is tall, slim, and X type in front. Type 2 is standard height and weight, short upper body, and hip-protruded on the side. Type 3 is standard height, thin, H type in front, back and hip are clearly protruded, and lean-back type on the side. Type 4 is standard height, fat, and long upper body. 3. According to the stepwise discriminant analysis, the 8 important items in classifying the somatotype of early middle-aged women are as follows ; bust girth, back length, hip breadth-waist breadth, back protruded point depth(back)-back waist depth(back), hip tangent tilt, hip depth(back)-back waist depth(back), bust depth-waist depth, and cervical height. The correct classification rate for these items is as exact as 83.20%.
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심정희 한국의류학회 2002 한국의류학회지 Vol.26 No.1
The purpose of this study was to classify the somatotype of late middle-aged women and to analyze the characteristics of each somatotype. The subjects were 337 late middle-aged women and their age range os from 45 to 59 years old. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and discriminant analysis. The results were as follows; 1. The result of factor analysis indicated that 9 factors were extracted through factor analysis and those factors comprised 83.56 percent of total variance. 2. Using factor scores, cluster analysis was carried out and the subject were classified into 4 cluster. Each cluster was classified as their body front and side view contour. Type 1 is tall, slim, and lower back is flat on the side. Type 2 is standard and lean-back type on the side. Type 3 is standard height and weight, H type in front, and belly-protruded on the side. Type 4 is short, fat, and the side is hip-protruded. 3. According to the stepwise discriminant analysis, the 9 important items in classifying the somatotype of the late middle-aged women are as follows ; lower back tilt angle, hip depth(back) - back waist depth(back), bust depth(fore) - anterior waist depth(fore), jugular fossa point(fore), upper back tilt angle, bust breadth - waist breadth, right shoulder tilt, height of shoulder - height of anterior waist, abdomen breath. The correct classification rate for these items is as exact as 84.62%.
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김영아,김현숙,정명준 한국식품조리과학회 1996 한국식품조리과학회지 Vol.12 No.3
To investigate the main components of Korean traditional soy sauce for its typical taste, we compare the physicochemical properties of Korean traditional soy sauce and commercial soy sauce. The physicochemical analysis revealed that each components showed significant difference between Korean traditional soy sauce and commercial soy sauce. The significant characters for discrimination between Korean traditional soy sauce and commercial soy sauce were salt content, ammonia nitrogen content and total acidity (R$^2$=0.99). The components of Korean traditional soy sauce divided into 3 clusters, and each group is characterized as formol nitrogen, salt and total nitrogen content by cluster analysis. Main amino acids of Korean traditional soy sauce were alanine, glutamic acid, leucine and valine.
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Zhang Nan,Qian Guangjing,Zhang Lin,Song Xueyu,Zou Yunding,Bi Shoudong 한국곤충학회 2021 Entomological Research Vol.51 No.7
To improve the accuracy of forecasting the peak period of Dendrolimus punctatus, stationary time series, periodic distance method, stepwise regression model and the Bayes discriminant analysis were used. RSME value, kappa coefficient and accuracy were used as evaluation criteria to predict the peak period for the second generation egg of D. punctatus with over 33 years from 1983 to 2016 in Qianshan County, Anhui Province. The predictions of these models were verified in 2017 and 2018. The prediction of the stationary time model and Bayes discriminant analysis for 2017 was one level lower than the actual result and for 2018 was one level higher than the actual result, while the prediction of the periodic distance method was identical to the actual result for 2017 and greatly different from the actual result for 2018. The accuracy for stationary time series (RMSE = 0.92 kappa = 0.76) and periodic distance method (RMSE = 2.96, kappa = 0.81) from 1983 to 2018 were 87.88% and 85.71%, respectively. When taking into consideration the standard error was based on differential, the accuracy for the prediction of stepwise regression model (RMSE = 0.25, kappa = 1.00) from 1983 to 2018 was 100%. The accuracy of Bayes discriminant method (RMSE = 0.71, kappa = 0.96) was 97.14%. Comparatively speaking, the stepwise regression model and Bayes discriminant analysis method were better than the stationary time series and periodic distance method in RMSE value, kappa coefficient and accuracy. So they were relatively ideal forecast methods.
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Dotcom Failure and Predictive Power of Financial Ratios
곽승욱 한국기업경영학회 2014 기업경영연구 Vol.21 No.3
This paper is a continued effort to alarm investors whether their investments are in good hands in case of more vulnerable companies, the dotcoms. I perform relatively simple multivariate discriminant analyses on the bankruptcy of dotcoms and provide evidence that the bankruptcy of dotcoms can be predicted using accounting-based financial ratios. The stepwise discriminant analysis shows extremely high cross-validation correct classification rate (96.3%). More striking results are from two arbitrarily chosen models: the stepwise five-variable model and the two-variable model. The former uses five variables from the stepwise discriminant procedure that show a significant mean difference between non-bankrupt and bankrupt dotcoms, while the latter uses two variables from the Altman’s model that displays a significant mean difference between the two groups of dotcoms. Both models report the overall correct classification rates of 82% and 84% respectively that are reasonably high when compared to those in prior studies ranging from 60% to 95%. Most striking is that the two-variable model is based on the Altman’s model that was originally developed only for manufacturing firms. Financial distress and failure have been an aching issue in Korean banking industry since 2011 and the present study suggests that the parsimonious models of bankruptcy forecasting may be a key to prevent investors and savers from entrusting their lifetime savings with failing technology firms and financial institutions.
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Omena Bernard Ojuederie,Morufat Oloruntoyin Balogun,Sikirat Remi Akande,Sam Korie,Taiwo Omodele 한국작물학회 2015 Journal of crop science and biotechnology Vol.18 No.2
Intraspecific variabilities in 40 accessions of African yam bean (AYB) were assessed through characterization of 48 agro-morphological traits for two cropping seasons between June and December 2011 and 2012. Data were analyzed using descriptive statistics, analysis of variance (ANOVA), correlation analysis, principal component analysis, and cluster analysis (Semi - partial R squared method). The accessions showed significant differences (P ≤ 0.05, P ≤ 0.01, P ≤ 0.0001) in 16 reproductive traits. Accessions TSs 66 (144.50 days), TSs 51(144.67 days) and TSs 154 (144.67 days) were identified as early maturing accessions. The first five principal component axes explained 69.7% of the total variation with PC1 and PC2 contributing 38.9% to the total variation. Correlation coefficients were high and significant for yield traits. A highly significant correlation (r = 0.99***) was observed between seed yield (kg ha-1) and weight of total pods per plant. Tubers were produced from 42.5% of the accessions. The accessions of AYB were meaningfully grouped into five clusters at the R-squared distance of 0.04 similarity index. Phenotypically, AYB 57 and TSs 123 were the most similar accessions with the closest distance of 0.0071. Four seed shapes were identified; oval (82.5%), globular/round (5%), oblong (10%), and rhomboid (2.5%). In order to improve the yield of AYB, the number of seeds per pod, number of pods per plant, weight of total seeds per pod, and weight of total seed per plant are important determinant factors. The genetic variabilities observed in the traits studied could be utilised for improvement of AYB.
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학령 후기 여아의 하반신 체형 분석에 의한 바지 원형설계에 관한 연구(제1보)
박정숙,함옥상 한국의류학회 2003 한국의류학회지 Vol.27 No.1
This study was conducted in order to provide basic study material for children's garment design. The subjects of this study are fifth and sixth grade elementary school girls, who demonstrate rapid growth and the differences among individual somatic types are apparent. Their bodies are studied, categorized into patterns and the characteristics are examined. 1. The increase of height and length measurements according to age increase are much larger than that of breadth, depth and girth menasurments. 2. Eight factors are drawn upon factor analysis and the rate of factors comprisedare 78.68%. 3. The shapes of lower body of higher grades girls in elementary school are classified into three categories. The first type is slender in lower body and the second type is more contoured around waist area with longer length and higher height than the average elementary school girls. The third type is heavy in the lower body. 4. Eighteen items important for somatic categorization are selected through stepwise discriminant analysis and the exactitude rate of these items is 93.3%.
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