Results 21 to 30 of about 134,556 (286)
This research was conducted to determine the variables that significantly influence nutritional status of children based on indicators that defined as height for age (H/A) and to classify children nutritional status into normal, short or very short ...
PALUPI PURNAMA SARI +2 more
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Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression
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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Regression models for analyzing radiological visual grading studies – an empirical comparison [PDF]
Background: For optimizing and evaluating image quality in medical imaging, one can use visual grading experiments, where observers rate some aspect of image quality on an ordinal scale.
Saffari, S. Ehsan +3 more
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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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IDENTIFIKASI KARAKTERISTIK KORBAN KECELAKAAN LALU LINTAS DI SIDOARJO TAHUN 2016
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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Ordinal regression increases statistical power to predict epilepsy surgical outcomes
Studies of epilepsy surgery outcomes are often small and thus underpowered to reach statistically valid conclusions. We hypothesized that ordinal logistic regression would have greater statistical power than binary logistic regression when analyzing ...
Adam S. Dickey +2 more
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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
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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Supplementary material for: Effects of microclimatic and human parameters on outdoor thermal sensation in the high-density tropical context of Dhaka [PDF]
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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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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