Ordinal Ridge Regression with Categorical Predictors [PDF]
, 2011 In multi-category response models categories are often ordered. In case of ordinal response models, the usual likelihood approach becomes unstable with ill-conditioned predictor space or when the number of parameters to be estimated is large relative to ...
Zahid, Faisal Maqbool
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Peningkatan Ketepatan Klasifikasi dengan Metode Bootstrap Aggregating pada Regresi Logistik Ordinal
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, 2019 Baby's birth weight is influenced by characteristics of pregnant women such as age, parity, education level, pregnancy visit, and gestational age. Classification of the birth weight of a baby is grouped into several groups, namely low birth weight ...
I Ketut Putu Suniantara +2 more
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Ordinal Logistic Regression in Medical Research
Journal of the Royal College of Physicians of London, 1997 Medical research workers are making increasing use of logistic regression analysis for binary and ordinal data. The purpose of this paper is to give a non-technical introduction to logistic regression models for ordinal response variables. We address issues such as the global concept and interpretation of logistic models, the model building procedure ...
R, Bender, U, Grouven
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AN ORDINAL LOGISTIC REGRESSION MODEL FOR ANALYZING RISK ZONE STATUS OF COVID-19 SPREAD
Barekeng, 2022 Coronavirus disease 2019 (COVID-19) is a new type of virus that has been found to have infected human since it first appeared in Wuhan, China, in December 2019.
Tessya Mutiara Dewi, Rosita Kusumawati
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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA (IPM) MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL DAN REGRESI PROBIT ORDINAL (Studi Kasus Kabupaten/Kota di Jawa Tengah Tahun 2014) [PDF]
, 2017 Human Development Index (HDI) is one of the most important indicator to observe another dimensions of human development. The HDI is a measurement for achievement levels of the quality of human development.
NURMALASARI, RATIH
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Asian Nursing Research, 2020 Summary: Purpose: The purpose of this study was to identify the factors affecting the satisfaction with patient-controlled analgesia (PCA) of patients using a generalized ordinal logistic regression model and to evaluate the difference in results of the
Wonhee Baek +3 more
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Simultaneous optimization of quantitative and ordinal responses using Taguchi method [PDF]
International Journal of Research in Industrial Engineering, 2018 In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables.
S. Pal, S. Gauri
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Barekeng, 2022 Ordinal logistic regression is a method describing the relationship between an ordered categorical response variable and one or more explanatory variables.
Reni Amelia +2 more
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Categorisation of Tinnitus Severity for the Mandarin Tinnitus Questionnaire [PDF]
, 2019 Background: The Tinnitus Questionnaire is commonly used to evaluate the psychological impact of tinnitus and has been translated into Mandarin. The original English version of the Tinnitus Questionnaire was translated into Mandarin (MTQ).
Chen, Zhenxi +3 more
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Supplementary material for: Effects of microclimatic and human parameters on outdoor thermal sensation in the high-density tropical context of Dhaka [PDF]
, 2018 The supplementary material has a separate DOI generated from ResearchGate: DOI: 10.13140/RG.2.2.30599 ...
Sharmin, Tania, Steemers, Koen
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