Výsledky vyhledávání - "Young Joo Yoon"

Adaptive robust regression with continuous Gaussian scale mixture errors

Autor: Byungtae Seo, Taewook Lee, Young Joo Yoon, Jungsik Noh

Publikováno v: Journal of the Korean Statistical Society. 46:113-125

Model based regression analysis always requires a certain choice of models which typically specifies the behavior of regression errors. The normal distribution is the most common choice for this purpose, but the estimator under normality is known to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::005539e3f31b3a01f2a1e7e14a0d507d
https://doi.org/10.1016/j.jkss.2016.08.002

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Workplace Bullying, Job Stress, Intent to Leave, and Nurses’ Perceptions of Patient Safety in South Korean Hospitals

Autor: Dong-choon Uhm, Young Joo Yoon, Hyunjin Oh

Publikováno v: Nursing Research. 65:380-388

BACKGROUND: Negative work environments influence the ability of nurses to provide optimal patient care in a safe environment. AIM: The purpose of the study was to test a model linking workplace bullying (WPB) and lateral violence (LV) with job stress

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae7c43abcee46c31cf45ecf7772e0357
https://doi.org/10.1097/nnr.0000000000000175

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Antiadipogenic Activity ofγ-Oryzanol and Its Stability in Pigmented Rice

Autor: Camila Renata Corrêa, Young Joo Yoon, Yoon-Mi Lee, Sang-Ik Han, Igor Otavio Minatel, Kyung-Jin Yeum, Haelim Yoon, Denise Fecchio

Publikováno v: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Made available in DSpace on 2018-12-11T17:29:07Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-07-01 Rural Development Administration γ-Oryzanol, a prevalent compound in pigmented rice varieties, has been reported to ameliorate obesity-assoc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1cfb8456f8a416c5f1c195ff883c5c5
https://doi.org/10.1089/jmf.2015.3647

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Optimal classifier for multivariate rectangle-screened normal data classification

Autor: Young Joo Yoon, Hyoung-Moon Kim, Hea-Jung Kim

Publikováno v: Journal of the Korean Statistical Society. 44:498-515

This paper discusses the classification procedures which make provision for the case where the interest of an investigator is to classify a multidimensional screened normal observation into one of two or more populations. A number of problems are tho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a921b224fdffeef7352624c9db951a8
https://doi.org/10.1016/j.jkss.2015.01.004

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Adaptive lasso for linear regression models with ARMA-GARCH errors

Autor: Sooyong Lee, Taewook Lee, Young Joo Yoon

Publikováno v: Communications in Statistics - Simulation and Computation. :1-12

The linear regression models with the autoregressive moving average (ARMA) errors (REGARMA models) are often considered, in order to reflect a serial correlation among observations. In this article, we focus on an adaptive least absolute shrinkage an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::577c3fa0aa4afda8ed3eb43860813287
https://doi.org/10.1080/03610918.2015.1096372

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