Results 61 to 70 of about 522,372 (186)
Regularized Ordinal Regression and the ordinalNet R Package
, 2017 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.
Hanlon, Bret M. +2 more
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Constructing Wildebeest Density Distributions by Spatio-temporal Smoothing of Ordinal Categorical Data Using GAMs [PDF]
, 2017 Spatio-temporal smoothing of large ecological datasets describing species distributions can be made challenging by high computational costs and deficiencies in the available data.
Ferguson, Elaine A. +2 more
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Penerapan Metode Suksesif Interval pada Analsis Regresi Linier Berganda
Jambura Journal of Mathematics, 2019 Dalam menggunakan model regresi linier disyaratkan data yang digunakan hendaknya berskala interval atau rasio. Akan tetapi jika skala dalam bentuk ordinal tetap dipaksakan menggunakan model regresi linier, maka akan diperoleh koefisien korelasi yang ...
Setia Ningsih, Hendra H. Dukalang
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Ordinal and Cardinal Measures of Health Inequality - An Empirical Comparison [PDF]
When measuring health inequality using ordinal data, analysts typically must choose between indices specifically based upon ordinal data and more standard indices using ordinal data which has been transformed into cardinal data.
David Madden
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Iranian South Medical Journal, 2021 Background: Response variables in most medical and health-related research have an ordinal nature. Conventional modeling methods assume predictor variables to be independent, and consider a large number of samples (n) compared to the number of covariates
Zahra Torkashvand +3 more
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Ordinal Patterns, Entropy, and EEG
Entropy, 2014 In this paper we illustrate the potential of ordinal-patterns-based methods for analysis of real-world data and, especially, of electroencephalogram (EEG) data. We apply already known (empirical permutation entropy, ordinal pattern distributions) and new
Karsten Keller +2 more
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Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data [PDF]
, 2017 Hongming Li, Mohamad Habes, Yong Fan
openalex +1 more source
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence [PDF]
, 2015 Data in the form of pairwise comparisons arises in many domains, including preference elicitation, sporting competitions, and peer grading among others. We consider parametric ordinal models for such pairwise comparison data involving a latent vector $w^*
Balakrishnan, Sivaraman +5 more
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The Assignment of Scores Procedure for Ordinal Categorical Data
The Scientific World Journal, 2014 Ordinal data are the most frequently encountered type of data in the social sciences. Many statistical methods can be used to process such data. One common method is to assign scores to the data, convert them into interval data, and further perform ...
Han-Ching Chen, Nae-Sheng Wang
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E-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
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