Results 111 to 120 of about 179,170 (301)

Some properties of measures of disagreement and disorder in paired ordinal data [Elektronisk resurs]

, 2010
The measures studied in this thesis were a measure of disorder, D, and a measure of the individual part of the disagreement, the measure of relative rank variance, RV, proposed by Svensson in 1993.
Svensson, Elisabeth,, Holm, Sture,, Högberg, Hans,   +2 more
core  

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source

Polychoric Correlation With Ordinal Data in Nursing Research. [PDF]

Nurs Res, 2022
Kiwanuka F, Kopra J, Sak-Dankosky N, Nanyonga RC, Kvist T.   +4 more
europepmc   +1 more source

Data analysis with ordinal and interval dependent variables: examples from a study of real estate salespeople [PDF]

This paper re-examines the problems of estimating the parameters of an underlying linear model using survey response data in which the dependent variables are in discrete categories of ascending order (ordinal, as distinct from numerical) or, where they ...
G. Martin Izzo, Barry E. Langford
core   +1 more source

Kenyan Farmers' Policy Priorities During Economic Crisis and Stability: Insights From a Best‐Worst Scaling Experiment

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia, John Olwande, Jacob Ricker‐Gilbert, David L. Mather, Nicole M. Mason   +4 more
wiley   +1 more source

Factor Analysis Biplots for Continuous, Binary and Ordinal Data

Stats
This article presents biplots derived from factor analysis of correlation matrices for both continuous and ordinal data. It introduces biplots specifically designed for factor analysis, detailing the geometric interpretation for each data type and ...
Marina Valdés-Rodríguez, Laura Vicente-González, José L. Vicente-Villardón   +2 more
doaj   +1 more source

Factor Retention Using Machine Learning With Ordinal Data. [PDF]

Appl Psychol Meas, 2022
Goretzko D, Bühner M.
europepmc   +1 more source

Learning Mixed Multinomial Logit Model from Ordinal Data

, 2014
Motivated by generating personalized recommendations using ordinal (or preference) data, we study the question of learning a mixture of MultiNomial Logit (MNL) model, a parameterized class of distributions over permutations, from partial ordinal or ...
Oh, Sewoong, Shah, Devavrat, Sewoong Oh, Devavrat Shah   +3 more
core  

Labeling Quality or Quantity? The Differential Impact of Geographical Indications on Export Performance in Turkish Agri‐Food Products

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley   +1 more source

Kendall transformation brings a robust categorical representation of ordinal data. [PDF]

Sci Rep, 2022
Kursa MB.
europepmc   +1 more source