Results 81 to 90 of about 2,907,167 (317)
Multinomial and ordinal Logistic regression analyses with multi-categorical variables using R
Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China Correspondence to: Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China.
Jiaqi Liang, Guoshu Bi, C. Zhan
semanticscholar +1 more source
This article demonstrates that encasing a hyperelastic balloon in an inextensible sleeve greatly increases its burst pressure. This simple mechanical behavior can be used to produce an asymmetric inflation‐deflation sequence for coupled balloons with different thicknesses so they could serve as a soft robot's rear and front anchors when driven from a ...
Ifat Gertler, Katherine J. Kuchenbecker
wiley +1 more source
Logistic Regression Multinomial for Arrhythmia Detection [PDF]
In this paper, we introduce a method based on logistics Regression multi-class as a classifier to provide a powerful and accurate insight into cardiac arrhythmia. As suggested by our evaluation, this provide a robust, scalable, and accurate system, which can successfully tackle the challenges posed by the utilization of big data in the medical sector.
Omar Behadada +4 more
openaire +1 more source
Detrital monazite geochronology has been used in provenance studies. However, there are complexities in the interpretation of age spectra due to their wide occurrence in both igneous and metamorphic rocks. We use the multinomial logistic regression (MLR)
K. Itano +3 more
semanticscholar +1 more source
Printed 2.5D‐Microstructures with Material‐Specific Functionalization for Tunable Biosensing
The 2.5D‐MiSENSE platform integrates a microstructured biosensor with an in‐line milking pipeline to enable real‐time detection of mastitis biomarkers during active milk flow. The system uses a 2.5D microengineered surface and patterned electrodes to enhance milk–sensor interaction.
Matin Ataei Kachouei +2 more
wiley +1 more source
CHARACTERIZATIONS OF MULTINOMIAL AND NEGATIVE MULTINOMIAL MIXTURES BY REGRESSION
SummaryCharacterizations are given for mixtures of multinomial and negative multinomial distributions with respect to their index parameter. Several well known multivariate discrete distributions are used as illustrative examples.
openaire +3 more sources
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Missing Categorical Data Imputation and Individual Observation Level Imputation
Traditional missing data techniques of imputation schemes focus on prediction of the missing value based on other observed values. In the case of continuous missing data the imputation of missing values often focuses on regression models.
Pavel Zimmermann +2 more
doaj +1 more source
The tripodal terpyridine‐1,3,5‐benzene tricarboxamide (BTA) ligand 1 is employed in the self‐assembly formation of novel luminescent materials using a range of lanthanide ions. In the polar protic solution, the results from the photophysical measurements are assessed using nonlinear regression analysis, while the functional material properties of the ...
Jason M. Delente +6 more
wiley +1 more source
Causes of death in Thailand are misreported; about 40 % of deaths have been recorded as “ill-defined”. This study aims to describe statistical methods to correct misreported multinomial outcome by using verbal autopsy (VA) data.
Arinda MA-A-LEE +2 more
doaj +1 more source

