Results 31 to 40 of about 118,919 (305)
Assessment of abnormally low tenders: a multinomial logistic regression approach
Technological and Economic Development of Economy, 2017 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
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Current Research in Environmental Sustainability, 2021 Agriculture is the mainstay of the majority of the rural population of Sikkim. Due to adverse geographical location and difficult terrain, the prospect of expansion of area under cultivation is limited. Only 11% of land is under agriculture on which more
Pawan Kumar, Suresh Chand Rai
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Women as main earners in Europe [PDF]
, 2014 This paper conducts a cross-sectional empirical research aimed at documenting that couples with women as main earners represent a non-negligible share of the European populations today.
Mendola, Daria, Vitali, Agnese
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Frontiers in Future Transportation, 2023 In Brazil, one of the most harmful costs for airlines is the number of lawsuits filed against them. It is a problem that can affect its operations, reduce the entry of new competitors and create legal uncertainty in the country.
Gabriel de Oliveira Torres +2 more
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Distributed multinomial regression [PDF]
, 2015 This article introduces a model-based approach to distributed computing for multinomial logistic (softmax) regression. We treat counts for each response category as independent Poisson regressions via plug-in estimates for fixed effects shared across ...
Taddy, Matt
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Sparse Multinomial Logistic Regression via Approximate Message Passing
, 2016 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
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A nested expectation-maximization algorithm for latent class models with covariates [PDF]
, 2018 We develop a nested EM routine for latent class models with covariates which allows maximization of the full-model log-likelihood and, differently from current methods, guarantees monotone log-likelihood sequences along with improved convergence ...
Canale, Antonio +2 more
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Factors related to highway crash severity in Brazil through a multinomial logistic regression model
Transportes, 2022 Reducing the number of deaths by road crashes is an important priority for many countries around the world. Although focusing on the occurrence of crashes can provide safety policies that help reduce its numbers, studying their severity can provide ...
Lucas Franceschi +7 more
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High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression [PDF]
, 2017 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
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Multinomial latent logistic regression [PDF]
, 2016 University of Technology Sydney. Faculty of Engineering and Information Technology.We are arriving at the era of big data. The booming of data gives birth to more complicated research objectives, for which it is important to utilize the superior ...
Xu, Zhe
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