• Asian-Australasian Journal of Animal Sciences
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• v.11 no.5
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• pp.580-585
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• 1998

The study was conducted to determine if variation in protein yield can be explained by expressions of early lactation somatic cell score (SCS) and if prediction can be improved by including SCS among the predictors. A data set was prepared (n = 663,438) from Wisconsin Dairy Improvement Association (USA) records for protein yield with sample days near 20. Stepwise regression was used requiring F statistic (p < .01) for any variable to stay in the model. Separate analyses were run for 12 combinations of four seasons and first three parities. Selection of SCS variables was not consistent across seasons or lactations. Coefficients of detennination ($R^2$) ranged from 51 to 61% with higher values for earlier lactations. Including any expression of SCS in the prediction equations improved $R^2$ by < 1 %. SCS was associated with milk yield on the sample day, but the association was not strong enough to improve the prediction of future yield when other expressions of milk yield were in the model.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.971-984
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• 2015

Imputation procedures fill-in missing values, thereby enabling complete data analyses. Fully efficient fractional imputation (FEFI) and multiple imputation (MI) create multiple versions of the missing observations, thereby reflecting uncertainty about their true values. Methods have been described for hypothesis testing with multiple imputation. Fractional imputation assigns weights to the observed data to compensate for missing values. The focus of this article is the development of tests of independence using FEFI for partially classified two-way contingency tables. Wald and deviance tests of independence under FEFI are proposed. Simulations are used to compare type I error rates and Power. The partially observed marginal information is useful for estimating the joint distribution of cell probabilities, but it is not useful for testing association. FEFI compares favorably to other methods in simulations.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.144-169
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• 2010

In 2002, property loss caused by failure or leakage of existing river levee structures was about 1.8 trillion in Korean Won, and furthermore in which damages of river structures are getting more severe due to characteristics of extremely extraordinary rain such as torrential rain in the locality or guerrilla heavy rain. In this regards, this paper collects and analyzes those damage records and costs for repair by statistic method, and moreover categorizes the causes of failure, erosion and overtopping of levee structures in large and small scale rivers threatened frequently by typhoon and heavy rainfall. It is believed that the results from the analyses can be used as a basic source in developing criteria of standards for design, construction, maintenance and inspection(or diagnosis) of hydraulic structures such as levee and drain conduit.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.545-553
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• 2005

The purpose of this study is to analyse consumer injury and to find current status of industrial consumer injury in the field of consumer product. Also the subject under analysis is to develop a design guidance for the consumer product safety. we used consulting data of Korea Consumer Protection Board, Korea Product Liability Consulting Center and referred to statistic data of Korea National Statistical Office. Consumer injury data of Korea is insufficient comparing with leading industrialized nations. Therefore, we categorized hazard factors based on current injury data in Korea instead of analysing injury data statistically. And we analyse the hazard factors using the analytic hierarchy process in this study. Through the results, we defined the Consumer Injury Index(CII) to develop a design guidance for the consumer product safety.

• Journal of Integrative Natural Science
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• v.13 no.2
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• pp.76-82
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• 2020

If normality of an observed data is not a viable assumption, we can carry out normal-theory analyses by suitable transforming data. Power transformation by Box and Cox, one of the transformation methods, is derived the power which maximized the likelihood function. But it doesn't induces the closed form in mathematical analysis. In this paper, we compose some R the syntax of which is easier than other statistical packages for deriving the power with using numerical methods. Also, by using R, we show the transformed data approximately distributed the normal through Q-Q plot in univariate and bivariate cases with some examples. Finally, we present the value of a goodness-of-fit statistic(AD) and its p-value for normal distribution. In the similar procedure, this method can be extended to more than bivariate case.

• Journal of the Korean Home Economics Association
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• v.34 no.4
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• pp.161-174
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• 1996

The purpose of the study is to investigate how childhood attachment and autonomy explain the gender differences in adulthood heterosexual love styles. The study examines (1) the gender differences in childhood attachment and autonomy and adulthood heterosexual love relationships, (2) the relationship between childhood attachment and autonomy in relation to mother, and love styles in adulthood among men and women. 405 married or unmarried men and women participated in a questionnaire study. Such statistic analyses are engaged for this study as cross-tabulation analysis, and one-way ANOVA. The key findings of the study are that the relationships of childhood developmental pattern of attachment and autonomy to adulthood heterosexual love styles differ between men and women. That is, developmental patterns of childhood attachment and autonomy to mother operate as a vulnerability factor in establishing adulthood love relationship, whereas childhood experiences do not explain adulthood love among women. These gender differences are discussed in theoretical contexts which explain gender-differentiated process of separation from mother during childhood.

• Korean Journal of Agricultural Science
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• v.44 no.3
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• pp.424-439
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• 2017

This study was undertaken to examine the profit efficiency and its determining factors, the investment opportunity, and the challenges of shea butter producers in the northern region of Ghana. The methods employed in this research were the Stochastic Profit Frontier (SPF) model, gain-cost and investment return analyses, as well as Kendall's W statistic using primary data collected from 120 purposively-selected respondents. Results from the analysis indicated that profit efficiency was positively influenced by sex, household size, marital status, educational level, transportation cost, store rent, and price of shea nut with a gain in profit efficiency of 58.5%. The investment analysis demonstrated a net gain per person of $8,077 equivalent to GH₵ 28,270 Ghanaian cedi (GH₵) using 2016 exchange rate (GH₵ 3.5 = $1). Among the challenges identified, the poor quality of shea nuts was the most prioritised challenge with 72.8% agreement among the respondents. Based on these findings, it was recommended that proper training and education, as well as improvement in shea nut quality, should be promoted to improve the profit efficiency of shea butter producers.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.889-896
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• 2012

In this paper, we propose a statistic to measure investor sentiment. It is a usual phenomenon that an asymmetric volatility (referred to as the leverage effect) is observed in financial time series and is more sensitive to bad news rather than good news. In a bubble state, investors tend to continuously speculate on financial instruments because of optimism about the future; subsequently, prices tend to abnormally increase for a long time. Estimators of the transformation parameter and the skewness based on Yeo-Johnson transformed GARCH models are employed to check whether a bubble or abnormality exist. We verify the appropriacy of the proposed interpretation through analyses of KOSPI and NIKKEI.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.3124-3124
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• 2001

The development and evolution of near infra-red spectroscopic (NIS) calibrations for high-moisture materials is an expensive proposition. Such investment is suspect unless the instrument, or instruments, on which calibrations were developed can be preserved intact or re-standardized as component replacements occurs. The objective of this paper is to detail the changes in performance of a six-year old instrument after maintenance in years five and six resulted in collection of spectral data that was increasingly removed from the calibration population. Calibrations for the analysis of mature sugarcane stalks, a high-moisture material, were developed successfully in 1995 using a broad sample population in terms of genetics, and spectral and temporal variation. The spectral library was further broadened in 1996. In 1997, 1999, 1999, and 2000, additional samples constituting 10% of the laboratories throughput were subjected to full component analyses using routine laboratory techniques. These samples were primarily random samples, but were complemented with samples that were significant for the spectral H statistic or for the component t statistic. In 1998, an additional calibration was developed for populations consisting of samples of either mature stalks (culms) or sucker culms. Substantial additional samples numbers were collected for this calibration in 1999 and 2000. Attempts to standardize the scanning spectrophotometer used for these calibrations with a second similar instrument in 1999 failed because the instruments were optically different, and standardization could not account for this. Maintenance adjustments were made to the remote reflectance probe of the original instrument in 1999, and replacement of its PbS detectors was done in 2000. Spectral data collected in 1999 and 2000 yielded spectral populations that were increasingly removed from the respective spectral populations on which the calibrations were developed. The mature stalk calibrations benefited marginally from evolutionary calib.

• Korean Journal of Agricultural Science
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• v.15 no.2
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• pp.164-173
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• 1988

This study is to analyse marketing and industrial structure of meat processing industry and to examine it's current situation related to agriculture. For this purpose 1. This paper surveys the history of meat processing industry, and analyses current situation of meat processing industry, based upon economic statistic data. 2. For the research of marketing structure of meat processing products, this paper not only ciassifies into three catagories; the supply of raw meat, main marketing organization, and path, but measures magnitude of Marketing Bill and Farmer's Share practically through statistic data and an on-the-spot survey. 3. This study also attempt to explain the relation of meat processing industry and the other industry and role of meat processing industry is Korean economy by the use of input-output table. The results of the study are as follows; 1. The meat processing industry in Korea produces low quality, and expensive raw meat with limited quality, inefficiency of marketing structure, and unrelated livestock and meat processing industry. 2. Korea market structure of meat processing products has been changed into oligopoly from monopoly by a new corporation entered into monopoly and the size of meat processing market firms has been normalized. 3. Meat processing industry is very important considering with its high back-linkage-effect. In order to develop meat processing industry and marketing, it is essential that operation of intergrated meat market center, meat market center should be efficiently operated. The efficient utilization of domestic resource for raw meat and development of processing technique have to be required, by means of the governmental support.