The purpose of this study is to compare the performance of the Ordinal Logistic Regression (OLR) and Artificial Neural Network (ANN) models when analyzing ordinal data using different scenarios by varying the combinations of the marginal probability distributions and correlation coefficients. Two ...
The effect of selected variables on corporate bond rating using the ordinal logistic regression 来自 ResearchGate 喜欢 0 阅读量: 16 作者:Jií Valeck,M Novotná 摘要: The paper is focused on examining and modelling the relationship between selected financial indicators and credit rating assessment. ...
To link the categories of overall evaluation to the factor levels, we adopt – at the aggregate level – an ordinal logistic regression, based on a main effects experimental design.The model provides several overall desirability functions (aggregated part-worths sets), as many as the overall ...
This article describes the Ordinal data founded logistic regression model,parameter estimation and hypothesis testing;Using R language as the analysis tool,the data were analyzed by estimation of regression coefficient and Model fitting test using Polr function in MASS package,thus finished the statistical...
The Effects of Various Configurations of Likert, Ordered Categorical, or Rating Scale Data on the Ordinal Logistic Regression Pseudo R-Squared Measure of F... (2002). The Effects of Various Configurations of Likert, Ordered Categorical, or Rating Scale Data on Ordinal Logistic Regression Pseudo R...
内容提示: Contents lists available at ScienceDirectFood Microbiologyjournal homepage: www.elsevier.com/locate/fmAn ordinal logistic regression approach to predict the variability on biof i lmformation stages by f i ve Salmonella enterica strains on polypropylene andglass surfaces as af f ected by ...
Ordinal Logistic Regression: The Proportional Odds Model When the response categories are ordered, you could run a multinomial regression model. The disadvantage is that you are throwing away information about the ordering. An ordinal logistic regression model preserves that information, but it is sligh...
SPSS has a few procedures for logistic regression. Some types can be run in more than one, but they have different output options. Here's an overview.
In order to evaluate the influence of the two components of mindfulness as assessed by the FMI on nightmare frequency, we conducted an ordinal logistic regression with the two FMI subscales, Presence and Acceptance, as predictors while controlling for age, gender and dream recall. ...
Ordinal logistic regression (proportional odds model) was used for the analysis of chair stand and Mini-Mental-State-Examination. All analyses were adjusted for age at assessment and sex. Population genetic inferences were based on the Pilot 1 data from the 1000 Genomes Project22, available from ...