• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.281-288
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• 2015

In this paper, we study an approximate procedure to evaluate a penalized maximum likelihood estimator (MLE) for a mixed effects model. The procedure approximates the Hessian matrix of the penalized MLE with a structured sparse matrix or an arrowhead type matrix to speed its computation. In this paper, we numerically investigate the gain in computation time as well as approximation error from the considered approximation procedure.

• The Safety technology
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• no.70
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• pp.54-55
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• 2003

• Journal of the Korea Construction Safety Engineering Association
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• s.15
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• pp.69-76
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• 1995

• Journal of the Korea Construction Safety Engineering Association
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• s.21
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• pp.26-28
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• 1996

• Journal of the Korea Construction Safety Engineering Association
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• s.27
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• pp.56-62
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• 1998

• Journal of the Korea Construction Safety Engineering Association
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• s.25
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• pp.107-116
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• 1997

• Construction Engineering and Management
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• v.21 no.2
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• pp.33-35
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• 2020

• 월간 기계설비
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• no.9 s.194
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• pp.56-58
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• 2006

공정거래위원회(위원장 권오승)는 대 · 중소기업간 협력증진을 위한 기반 조성을 위해 「대 · 중소기업간 상생협력을 위한 바람직한 계약체결 가이드라인」, 「협력업체 선정 · 운용 가이드라인」, 「하도급거래 내부심의위원회 설치 · 운용 가이드라인」을 제정하여 기업의 사용을 권장키로 했다. 이 가이드라인은 의무사항이 아닌 권장사항으로 공정위는 기업들이 이를 사용할 경우 하도급벌점 감점 등 인센티브를 부여(과징금 부과시 감경, 과거 3년간 누적벌점 감점)키로 했으며 건교부 등 관련부처에서도 인센티브를 제공할 예정이다. 또한 하도급의 시정조치 강화 및 하도급거래 우수업체에 대한 인센티브 제공을 위해 「하도급거래공정화지침」(이하 공정화 지참)도 개정했다.

• Communications for Statistical Applications and Methods
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• v.18 no.6
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• pp.837-849
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• 2011

A self-organizing network is designed to estimate parameters of normal mixtures. SOMN achieves fast convergence and low possibility of divergence even when sample sizes are small, while PMLE eliminate unnecessary components. The proposed network effectively combines the good properties of SOMN and PMLE. Simulation verifies that the proposed network eliminates unnecessary components in normal mixtures when sample sizes are relatively small.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.71-79
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• 2013

Semiparametric and nonparametric small area estimations have been studied to overcome a large variance due to a small sample size allocated in a small area. In this study, we investigate semiparametric and nonparametric mixed effect small area estimators using penalized spline and kernel smoothing methods respectively and compare their performances using labor statistics.