Results 101 to 110 of about 2,640,523 (250)
Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression
The 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
Ordinal regression on degree of behavioral change.
, 2018 Ordinal regression on degree of behavioral change.
Tai-Yi Yu (5897078) +2 more
core +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
SAS Macro BDM for Fitting the Dale Regression Model to Bivariate Ordinal Response Data [PDF]
A SAS macro for fitting an extension of the Dale (1986) regression model to bivariate ordinal data is provided. The macro is described in detail and examples from Dale (1986) and McMillan, Hanson, Bedrick, and Lapham (2005) are discussed.
Garnett McMillan, Timothy Hanson
core
Ordinal regression analysis of monitor knowledge variables.
, 2018 Ordinal regression analysis of monitor knowledge variables.
Alistair Anderson (5892266)
core +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Ordinal regression Part 2: Multiple ordinal regression
, 2021 In this video, Dr Heini Väisänen explores multiple ordinal regression models with more than one exponential variable. She also looks at statistical significance and how it can be determined in such a model.
Väisänen, Heini
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, 2014 Any multiple Criteria Decision Aiding (MCDA) method needs some preference parameters. The Decision Maker (DM) could be asked to provide directly all these parameters; however, because it needs a great cognitive effort, the indirect preference information is more used in practice. Starting from the indirect preference information, usually there could be
Corrente S +3 more
openaire +3 more sources
Results of ordinal logistic regression models.
, 2013 Results of ordinal logistic regression models.
Victoria Simms (25753) +12 more
core +1 more source
Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source