Results 81 to 90 of about 21,655,635 (191)

Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings [PDF]

, 2020
Andrea Seveso, Andrea Campagner, Davide Ciucci, Federico Cabitza   +3 more
openalex   +1 more source

An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data.

Psychological methods, 2004
D. Flora, P. Curran
semanticscholar   +1 more source

A distance metric for ordinal data based on misclassification

Journal of Innovative Applied Mathematics and Computational Sciences
Distances between data sets are used for analyses such as classification and clustering analyses. Some existing distance metrics, such as the Manhattan (City Block or L1 ) distance, are suitable for use with categorical data, where the data subtype is ...
Dreas Nielsen
doaj   +1 more source

Penggunaan Makro Minitab untuk Tranformasi Data Ordinal ke Interval

Statistika, 2014
Dalam penelitian sosial ...
R. Dachlan Muchlis
doaj  

Distance mean-square loss function for ordinal text classification of emergency service response codes in disaster management

ETRI Journal
The National Fire Agency (NFA) and National Police Agency (NPA) have defined risk levels based on the severity of disasters. Risk-level data possess the characteristics of ordinal data such as NPA’s Emergency Service Response Code (ESRC) data, which are ...
Eungyeol Lee, Sungwon Byon, Eui-Suk Jung, Eunjung Kwon, Hyunho Park   +4 more
doaj   +1 more source

Statistical Methods of Handling Ordinal Longitudinal Responses with Intermittent Missing Data [PDF]

, 2022
Omololu Aluko, H. Mwambi
openalex   +1 more source

What is the empirical basis for converting banded ordinal data on numbers of sex partners among MSM into a continuous scale level variable? A secondary analysis of 13 surveys across 17 countries. [PDF]

BMC Med Res Methodol, 2022
Mendez-Lopez A, Hickson F, Jansen K, Lachowsky N, Burns F, Folch C, Velter A, Weatherburn P, Marcus U, von Rüden U, Mirandola M, Gios L, Frankis J, Brennan DJ, Schmidt AJ.   +14 more
europepmc   +1 more source

Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion [PDF]

Alejandro Morales-Martín, Francisco Javier Mesas‐Carrascosa, J. Muñoz-Lorite, Susana Cantón-Martínez, Fernando Pérez Porras, Víctor Manuel Vargas, Pedro Antonio Gutiérrez   +6 more
openalex   +1 more source

GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN

, 2014
Nazanin Nooraee, Geert Molenberghs, Edwin R. van den Heuvel   +2 more
openalex   +2 more sources

Describing variability of intensively collected longitudinal ordinal data with latent spline models. [PDF]

Sci Rep
Lunt M, Selby DA, Dixon WG.
europepmc   +2 more sources