• 아동학회지
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• 제26권5호
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• pp.139-149
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• 2005

Predictors of parenting efficacy were examined in 448 college-educated mothers of kindergarten children. The mothers completed measures of maternal self-efficacy, child temperament, and father's child-rearing involvement. Higher parenting self-efficacy was observed in mothers of daughters, older siblings, less emotional, more active, and more sociable children, and among mothers who perceived higher levels of father's child-rearing involvement. Of the father's child-rearing involvement variables, guidance of socially appropriate language and behavior was the best predictor of mothers' parenting efficacy.

• Communications for Statistical Applications and Methods
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• 제21권1호
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• pp.93-103
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• 2014

This paper deals with the problem of predicting censored data in a half triangle distribution with an unknown parameter based on progressively Type-II censored samples. We derive maximum likelihood predictors and some approximate maximum likelihood predictors of censored failure times in a progressively Type-II censoring scheme. In addition, we construct the shortest-length predictive intervals for censored failure times. Finally, Monte Carlo simulations are used to assess the validity of the proposed methods.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.787-797
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• 2002

Partial residual plots, augmented partial residual plots and CERES plots are basic diagnostic tools for dealing with curvature as a function of specific predictors in regression problem. However, it is known that these plots can miss a curve or show a false curve in some cases such as predictors are related each other. Dynamic display of these plots is developed and applied. Examples demonstrate that dynamic plots are useful for obtaining additional Information on the curvature.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1169-1180
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• 2006

Partial least squares regression (PLS) is a biased, non-least squares regression method and is an alternative to the ordinary least squares regression (OLS) when predictors are highly collinear or predictors outnumber observations. One way to understand the properties of biased regression methods is to know how the estimators shrink the OLS estimator. In this paper, we introduce an expression for the shrinkage factor of PLS and develop a new shrinkage expression, and then prove the equivalence of the two representations. We use two near-infrared (NIR) data sets to show general behavior of the shrinkage and in particular for what eigendirections PLS expands the OLS coefficients.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.845-857
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• 2003

We explore the use of genetic programming to evolve decision trees directly for classification problems with both discrete and continuous predictors. We demonstrate that the derived hypotheses of standard algorithms can substantially deviated from the optimum. This deviation is partly due to their top-down style procedures. The performance of the system is measured on a set of real and simulated data sets and compared with the performance of well-known algorithms like CHAID, CART, C5.0, and QUEST. Proposed algorithm seems to be effective in handling problems caused by top-down style procedures of existing algorithms.

• Communications for Statistical Applications and Methods
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• 제7권1호
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• pp.1-12
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• 2000

We explore the structure and usefulness of CERES plot as a basic tool for dealing with curvature as a function of the new predictor in nonlinear regression. If a predictor has a nonlinear effect and there are nonlinear relationships among the predictors the partial residual plot and augmented partial residual plot are not able to display the correct functional form of the predictor. Unlike these plots the CERES plot can show the correct from. In situations where nonlinearity exists in two predictors we extend the idea of CERES plot to three dimensions, This is illustrated by simulated data.

• 동아시아경상학회지
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• 제2권2호
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• pp.24-36
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• 2014

This study bridges the gap between management accounting, CG and entrepreneurship disciplines. Unlike previous studies, this study adopts a positivist approach to develop a contingency framework of CG that operationalises the conformance and performance dimensions into measurable constructs. The contingency framework also adopts a holistic approach that investigates the interrelationships between VBM, CG and CE, as important predictors of organizational performance, which can provide insights into the complementary or conflicting relationships among these predictors in their effects on organizational performance.

• Journal of the Korean Data and Information Science Society
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• 제24권4호
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• pp.885-893
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• 2013

This paper considers Bayes estimations of the small area means under Fay-Herriot model with measurement errors. We provide empirical Bayes predictors of small area means with the corresponding jackknifed mean squared prediction errors. Also we obtain hierarchical Bayes predictors and the corresponding posterior standard deviations using Gibbs sampling. Numerical studies are provided to illustrate our methods and compare their eciencies.

• 대한가정학회지
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• 제30권1호
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• pp.257-265
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• 1992

The purpose of this study was to compare the differences between traditional and nontraditional college women in regard to personality and family background characteristics. Subjects were 180 college women majoring in Education, Nursing, Medicine, and Law. ANOVA and discriminant analysis were conducted to analyze the data. The results showed that nontraditional women scored significantly higher in acacemic achievement, SES, and parental support and influence than traditional women. SES, psychological masculinity, and parental support and influence were the most powerful predictors of nontraditional career orientation. Suggestions were made regarding precautions and need of cross-cultral study.

• Communications for Statistical Applications and Methods
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• 제11권3호
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• pp.529-537
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• 2004

This article concerns dynamic graphical methods for visualizing a curvature in regression problem in which some predictors enter nonlinearly. A sequence of augmented partial residual plot or partial residual plot updated by the change of linear combination of two predictors are constructed. Examples demonstrate that the suggested methods can be used to reduce the dimension of explanatory variables as well as to capture a curvature.