Results 21 to 30 of about 133,149 (292)
Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression
The Indian Journal of Agricultural Sciences, 2014 In this study, uses of ordinal logistic model based on weather data has been attempted for forecasting wheat (Triticum aestivum L.) yield in Kanpur district of Uttar Pradesh.
VANDITA KUMARI, AMRENDER KUMAR
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Revista de Saúde Pública, 2009 Os modelos de regressão logística ordinal vêm sendo aplicados com sucesso na análise de estudos epidemiológicos. Entretanto, a verificação da adequação de cada modelo tem recebido atenção limitada.
Mery Natali Silva Abreu +2 more
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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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IDENTIFIKASI KARAKTERISTIK KORBAN KECELAKAAN LALU LINTAS DI SIDOARJO TAHUN 2016
The Indonesian Journal of Public Health, 2019 Traffic accident becomes a very serious case because it causes not only material loss but also physical and psychological harms to the subject and the people around him. Accidents that occurred resulted in not only injuries but also death.
daniar mukti septianingtyas
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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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Grid multi-category response logistic models. [PDF]
, 2015 BackgroundMulti-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is necessary when data cannot be moved ...
Jiang, Wenchao +5 more
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Mathematics, 2023 Logistic regression is one of statistical methods that used to analyze the correlation between categorical response variables and predictor variables which are categorical or continuous.
Marisa Rifada +2 more
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Ordinal Logistic Regression with an Application to Health Service Quality in Raden Mattaher Jambi Hospital [PDF]
, 2019 Health care is a treatment received by the community provided by health workers. The quality of health services will provide satisfaction to health services.
Mardia, A. (Ainun) +2 more
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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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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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