Results 21 to 30 of about 134,556 (286)

BOOTSTRAP AGGREGATING (BAGGING) REGRESI LOGISTIK ORDINAL UNTUK MENGKLASIFIKASIKAN STATUS GIZI BALITA DI KABUPATEN KLUNGKUNG

open access: yesE-Jurnal Matematika, 2016
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
doaj   +1 more source

Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression

open access: yesThe 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
doaj   +1 more source

Regression models for analyzing radiological visual grading studies – an empirical comparison [PDF]

open access: yes, 2012
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
core   +2 more sources

Regressão logística ordinal em estudos epidemiológicos Regresión logística ordinal en estudios epidemiológicos Ordinal logistic regression in epidemiological studies

open access: yesRevista 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
doaj   +1 more source

IDENTIFIKASI KARAKTERISTIK KORBAN KECELAKAAN LALU LINTAS DI SIDOARJO TAHUN 2016

open access: yesThe 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
doaj   +1 more source

Ordinal regression increases statistical power to predict epilepsy surgical outcomes

open access: yesEpilepsia Open, 2022
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
doaj   +1 more source

ANALISIS REGRESI LOGISTIK ORDINAL FAKTOR-FAKTOR YANG MEMPENGARUHI STATUS BEASISWA MAHASISWA DI UNIVERSITAS MATARAM

open access: yesBarekeng, 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
doaj   +1 more source

Regularized Ordinal Regression and the ordinalNet R Package

open access: yesJournal 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
doaj   +1 more source

Supplementary material for: Effects of microclimatic and human parameters on outdoor thermal sensation in the high-density tropical context of Dhaka [PDF]

open access: yes, 2018
The supplementary material has a separate DOI generated from ResearchGate: DOI: 10.13140/RG.2.2.30599 ...
Sharmin, Tania, Steemers, Koen
core   +1 more source

Determining the factors affecting the happiness levels of divorced individuals by ordered logistics regression analysis

open access: yesMANAS: 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
doaj   +1 more source

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