Results 51 to 60 of about 21,655,635 (191)
Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome
Cancer Informatics, 2007 In recent years, there has been an increased interest in using protein mass spectroscopy to identify molecular markers that discriminate diseased from healthy individuals.
Deukwoo Kwon +4 more
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What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think [PDF]
, 2021 David M. Howcroft, Verena Rieser
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Analyzing and visualizing repeated-measures needs assessment data using the ranked discrepancy model
Advancements in Agricultural DevelopmentThe Ranked Discrepancy Model was introduced in 2021 as an alternative for analyzing Borich-style competency-based needs assessment data which avoided the pitfalls associated with the original methods for analysis.
Lendel Narine, Amy Harder
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Comparative analysis for quantification of Citrus Variegated Chlorosis in the field
Scientia Agricola, 2011 Citrus Variegated Chlorosis (CVC) caused by Xylella fastidiosa is one of the most important diseases for Brazilian citriculture. The CVC is a vascular disease with a long incubation period and symptoms similar to other disorders, and this factors ...
Fabrício Packer Gonçalves +4 more
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Machine Learning with Applications, 2022 Ordinal imbalanced datasets are pervasive in real world applications but remain challenging to analyse as they require specific methods to account for the ordering information and imbalanced classes.
Marine Desprez, Kyle Zawada, Daniel Ramp
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Missing Data Imputation for Ordinal Data
International Journal of Computer Applications, 2018 The treatment of missing data has become a mandatory step for performing valid data analysis in most scientific research fields. In fact, researchers have found that dealing with missing data avoids misleading data analysis and improves the quality and ...
Maryuri Quintero, Aera Leboulluec
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ICO, un indice de la consistance ordinale d’une série statistique [PDF]
Tutorials in Quantitative Methods for PsychologyUne série numérique générée à partir d’un processus séquentiel montre-t-elle une tendance identifiable (monotonicité partielle ou complète), un désordre excessif, ou une simple variance d’erreur?
Laurencelle, Louis
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Assessment of Resistance of Barley Varieties to Diseases in Polish Organic Field Trials
AgricultureLeaf rust and net blotch are two important fungal diseases of barley. Leaf rust is the most important rust disease of barley, whereas net blotch can result in significant yield losses and cause the deterioration of crop quality.
Tomasz Lenartowicz +6 more
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Trials, 2023 Introduction Randomised controlled trials (RCTs) aim to assess the effect of one (or more) unproven health interventions relative to other reference interventions.
Chris J. Selman +4 more
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