Results 41 to 50 of about 160,280 (251)
Assessment of abnormally low tenders: a multinomial logistic regression approach
This study was performed in order to reveal factors affecting abnormally low tenders (ALTs) and to minimize negative effects of them. A thorough literature review was carried out to observe past research about the reasons of and possible solutions to ...
Murat Gunduz, H. Volkan Karacan
doaj +1 more source
Robust Minimum Divergence Estimation for the Multinomial Circular Logistic Regression Model
Circular data are extremely important in many different contexts of natural and social science, from forestry to sociology, among many others. Since the usual inference procedures based on the maximum likelihood principle are known to be extremely non ...
Elena Castilla, Abhik Ghosh
doaj +1 more source
Sparse Multinomial Logistic Regression via Approximate Message Passing
For the problem of multi-class linear classification and feature selection, we propose approximate message passing approaches to sparse multinomial logistic regression (MLR).
Byrne, Evan, Schniter, Philip
core +1 more source
Variable Selection in General Multinomial Logit Models [PDF]
The use of the multinomial logit model is typically restricted to applications with few predictors, because in high-dimensional settings maximum likelihood estimates tend to deteriorate.
Pößnecker, Wolfgang +2 more
core +2 more sources
Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund +3 more
wiley +1 more source
The Application of Multinomial Regression Analysis to Heritage Tourism. [PDF]
The attitude towards the rich heritage resources in Nigerian communities is poor on behalf of the state, at time when the government is looking for avenues through which it may possibly diversify the economy so as to boost employment generation and forge
Semiu Ayinla Alayande (Ph.D)
doaj
Objective We aimed to identify unique disease trajectories within rheumatoid arthritis–associated interstitial lung disease (RA‐ILD) based on longitudinal forced vital capacity (FVC) values and their associated clinical outcomes. Methods We performed a cohort study of RA‐ILD within the Veterans Health Administration from 1999 to 2021.
Bryant R. England +9 more
wiley +1 more source
High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression [PDF]
Motivation: The high dimensionality of genomic data calls for the development of specific classification methodologies, especially to prevent over-optimistic predictions. This challenge can be tackled by compression and variable selection, which combined
Durif, G. +5 more
core +3 more sources
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Urban Noise Analysis Using Multinomial Logistic Regression [PDF]
AbstractThe research uses a database of urban noise data collected continually from April 2013 to March 2014 at 10 sites in Dublin, Ireland. The first objective of the paper is to investigate if the morning daily noise level peak is related to transport characteristics of households, such as car ownership levels, the mode by which people travel to work,
O'MAHONY, MARGARET, GERAGHTY, THOMAS
openaire +3 more sources

