Results 31 to 40 of about 58,275 (211)
FOOD SECURITY OF AGRICULTURAL HOUSEHOLDS IN HULU SUNGAI UTARA REGENCY, INDONESIA [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2023 Food is considered a fundamental necessity in the development of high-quality human capital. Food security can be described as the state in which a community has consistent access to an adequate supply of safe and nutritious food, which is distributed in
Wahdah N., Hamdani, Fajeri H.
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Barekeng, 2020 This study aims to analyze the factors that influence the status of student scholarships (get or not get a scholarship) using ordinal logistic regression analysis. The subjects involved were 100 students at Mataram University. The data used in this study
Baiq Rika Ayu Febrilia +2 more
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Regularized Ordinal Regression and the ordinalNet R Package
Journal of Statistical Software, 2021 Regularization techniques such as the lasso (Tibshirani 1996) and elastic net (Zou and Hastie 2005) can be used to improve regression model coefficient estimation and prediction accuracy, as well as to perform variable selection.
Michael J. Wurm +2 more
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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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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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MANAS: Journal of Engineering, 2022 In cases where the dependent variable is categorical and ordinal, the Ordinal Logistic Regression Model is used for model estimation. In order to predict the Ordinal Logistic Regression Model, it must provide the parallel lines assumption.
Burak Uyar, Cevdet Büyüksu
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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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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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Passenger satisfaction with railway station service quality: An Ordinal Logistic Regression approach
MATEC Web of Conferences, 2018 The objective of this paper is to examine the service quality dimensions and passenger characteristics and its effect on passenger’s satisfaction on railway station. Jember Railway Station is a survey location where the questionnaires were spread.
Kriswardhana Willy +2 more
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INFLUENCE OF STRESS ON BLOOD PRESSURE, HEART RATE, LEVELS OF SALIVARY AMYLASE AND SKIN TEMPERATURE
Journal of Engineering and Management in Industrial System, 2016 Productivity is the key to improved standard of living of a Country. Productivity growth represents the key to economic success. In this perspective we could increase productivity, one through human resources productivity that represents a potential ...
Sylvie Indah Kartika Sari
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