• Korean Journal of Child Studies
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• v.31 no.3
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• pp.235-254
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• 2010

The purpose of this study was to examine the feasibility and validity of the Application of Cognitive Function Scale as developed by Lidz and Jepsen (1997). Data were collected from 4 to 5-years-old children. The analysis for item adequacy indicated that the passing rate increases according to age. Futhermore the analysis for test adequacy indicated that internal consistency reliability was .85 in the pre-test and .80 of post-test in terms of the cognitive function scale, and .90 of pre-test and .93 in the post-test in relation to the behavior observation scale. In conclusion, our analysis of the ACFS shows sufficiently high scores in terms of both validity and reliability, so as to indicate that this test is an appropriate way to measure the cognitive function and non-intellective function of young Korean children.

• Journal of Information Processing Systems
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• v.7 no.2
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• pp.363-384
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• 2011

As the complexity of software is increasing, generating an effective test data has become a necessity. This necessity has increased the demand for techniques that can generate test data effectively. This paper proposes a test data generation technique based on adequacy based testing criteria. Adequacy based testing criteria uses the concept of mutation analysis to check the adequacy of test data. In general, mutation analysis is applied after the test data is generated. But, in this work, we propose a technique that applies mutation analysis at the time of test data generation only, rather than applying it after the test data has been generated. This saves significant amount of time (required to generate adequate test cases) as compared to the latter case as the total time in the latter case is the sum of the time to generate test data and the time to apply mutation analysis to the generated test data. We also use genetic algorithms that explore the complete domain of the program to provide near-global optimum solution. In this paper, we first define and explain the proposed technique. Then we validate the proposed technique using ten real time programs. The proposed technique is compared with path testing technique (that use reliability based testing criteria) for these ten programs. The results show that the adequacy based proposed technique is better than the reliability based path testing technique and there is a significant reduce in number of generated test cases and time taken to generate test cases.

• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.689-694
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• 2004

We investigate the test for model adequacy in nonlinear regression. We can expect the usual likelihood ratio statistic to be unaffected by any parametric- effect curvature; only the effect of intrinsic curvature needs to be considered. Multiplicative correction factor is derived for the limiting distribution of test statistic, which is a function of the intrinsic curvature arrays.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.549-555
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• 2021

Machine Learning(ML) splits data into 3 parts, which are usually 60% for training, 20% for validation, and 20% for testing. It just splits quantitatively instead of selecting each set of data by a criterion, which is very important concept for the adequacy of test data. ML measures a model's accuracy by applying a set of validation data, and revises the model until the validation accuracy reaches on a certain level. After the validation process, the complete model is tested with the set of test data, which are not seen by the model yet. If the set of test data covers the model's attributes well, the test accuracy will be close to the validation accuracy of the model. To make sure that ML's set of test data works adequately, we design an experiment and see if the test accuracy of model is always close to its validation adequacy as expected. The experiment builds 100 different SVM models for each of six data sets published in UCI ML repository. From the test accuracy and its validation accuracy of 600 cases, we find some unexpected cases, where the test accuracy is very different from its validation accuracy. Consequently, it is not always true that ML's set of test data is adequate to assure a model's quality.

• Journal of Electrical Engineering and Technology
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• v.1 no.4
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• pp.414-422
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• 2006

Deterministic techniques have been applied in power system planning for many years and there is a growing interest in combining these techniques with probabilistic considerations to assess the increased system stress due to the restructured electricity environment. The overall reliability framework proposed in this paper incorporates the deterministic N-1 criterion in a probabilistic framework, and results in the joint inclusion of both adequacy and security considerations in system planning. The combined framework is achieved using system well-being analysis and traditional adequacy assessment. System well-being analysis is used to quantify the degree of N-1 security and N-1 insecurity in terms of probabilities and frequencies. Traditional adequacy assessment is Incorporated to quantify the magnitude of the severity and consequences associated with system failure. The concepts are illustrated by application to two test systems. The results based on the overall reliability analysis framework indicate that adequacy indices are adversely affected by a generation deficient environment and security indices are adversely affected by a transmission deficient environment. The combined adequacy and security framework presented in this paper can assist system planners to realize the overall benefits associated with system modifications based on the degree of adequacy and security, and therefore facilitate the decision making process.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.9-18
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• 2020

This study seeks to analyze the effect of Non-Performing Loans and Capital Adequacy Ratio on Return on Assets on ten conventional banks listed on the Indonesia Stock Exchange (BEI-IDX). This study uses secondary panel data for 2015-2019 in the form of CAR and NPL values from ten conventional banks listed on the BEI-IDX during the 2020 observation period. The research approach is quantitative descriptive with data analysis methods, namely, linear regression. The testing phase of this study includes: transform value, F-test, T-test and hypothesis test with significancy level sig < 0.05. The results of this study reveal that Non-Performing Loans had a significant negative effect (t = -2,637) (0.011 <0.0) on Return on Assets, while Capital Adequacy Ratio has no significant effect on ROA (0.760 > 0.05). R2 value is 0.128 or 12.8%. It has a significant effect on variables, calling efforts by banks, governments, and authorities monetary of related institutions to maintain the stability of finance. The reduction of Non-Performing Loan impacts on assets and capital adequacy ratio, besides, the normal NPL will control the stability of finance. If a balance is created either in the form of values or amounts of the variables, the reduction in Non-Performing Loans will be controlled.

• Communications for Statistical Applications and Methods
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• v.18 no.1
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• pp.131-136
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• 2011

The original Bates-Watts framework applies only to the complete parameter vector. Thus, guidelines developed in that framework can be misleading when the adequacy of the linear approximation is very different for different subsets. The subset curvature measures appear to be reliable indicators of the adequacy of linear approximation for an arbitrary subset of parameters in nonlinear models. Given the specific mean shift outlier model, the standard approaches to obtaining test statistics for outliers are discussed. The accuracy of outlier tests is investigated using subset curvatures.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.75-81
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• 2020

This study aims to empirically test the effect of liquidity and adequacy on bank performance through interest rate risk and credit risk. Capital adequacy and liquidity are variables that can affect the ups and downs of opinion, where the bank's performance in this study is the dependent variable. Good credit distribution can minimize the occurrence of defaults. This study uses banking companies in Indonesia that are listed on the Indonesian stock exchange, with a total number of 43 banking companies, this study however, uses only 30 companies ranging from years 2014 to 2019, primarily due to the availability of the limited data. The data analysis techniques used in this study is PLS-SEM with the WarpPLS application. The research results show that capital adequacy and liquidity has a positive effect on bank performance, interest rate risk and credit risk can mediate capital adequacy on bank performance, interest rate risk can mediate liquidity on bank performance, and interest rate risk has a positive effect on bank performance. However, credit risk can't mediate liquidity on bank performance and credit risk does not have a positive effect on bank performance. This is in line with the commercial loan theory, shiftability theory and the doctrine of anticipated income, which explains how best to give credit, both in longer and the shorter term.

• Journal of Families and Better Life
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• v.16 no.3
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• pp.79-94
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• 1998

The purpose of this study was to investigate the variables which affect the coping styles for stress which was produced by family resource management in housewives. The subjects of this study were 565 married women who lived in apartment in Taegu. A questionnaire was used as survey method. The data was analyzed by means of factor analysis, t-test ANOVA Scheffe test coefficient and multiple regression analysis. The main findings were as follows; First the coping styles for stress were found to be significantly different according to the objective resources. Second perceived adequacy resource is positively correlated with the active coping style. Third locus of control is negatively correlated with the passive coping style and the evasive coping style, Forth in the coping styles for stress the active coping style was affected by locus of control perceived adequacy resource income employment of housewives and the evasive coping style was affected by locus of control.

• The Korean Journal of Cytopathology
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• v.16 no.1
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• pp.10-17
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• 2005

This study was performed to compare manual liquid-based preparation with conventional Papanicolaou tests in view of the cytologic diagnoses and specimen adequacy. The specimens of 5,979 women from 33 local clinics and 1 general hospital were prepared by both manual liquid-based preparation and conventional Papanicolaou test. The cytologic diagnoses and specimen adequacy were evaluated in Department of Fathology in Kyoungpook National University School of Medicine. A conventional Papanicolaou test was always prepared first, after that residual material on the sampling device was rinsed into a liquid preservative, and then thin-layer slides were prepared using manual method of liquid-based cervicovaginal cytology. Conventional and liquid-based slides were read independently, and cytologic diagnoses and specimen adequacy were classified using the Bethesda System. Of the cases, 5,763 (96.3%,) had the same interpretation, and there was no significant diagnostic difference in 5,853 (97.8%) cases. When evaluating cases with more than one diagnostic class difference, the manual liquid-based preparation demonstrated a statistically significant overall improvement (2.1%) in the detection of squamous intraepithelial lesion and invasive cancer. Using manual method of liquid-based preparation, there was 14.1%, reduction in unsatisfactory slides through excellent cellular presentation. In conclusion, the manual liquid-based preparation produces standardized quality, superior sensitivity and improved adequacy as compared to the conventional method.