Investigating the Social Boundaries of Fairness by Modeling Ultimatum Game Responders’ Decisions with Multinomial Processing Tree Models by Marco Biella, Max Hennig, Laura Oswald

“…The MPT models we developed and validated allowed us to separate three individual processes driving responses in the standard and Third-Party Ultimatum Game. …”
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Comparison of Multinomial, Bernoulli, and Gaussian Naïve Bayes for Complaint Classification in Pro Denpasar Application by Ida Bagus Mahendra, I Made Gede Sunarya, I Made Agus Wirawan

“…The application of the properartificial intelligence method can be used as a solution in classifying complaint categories to become a decision support tool for operators. This study compares three classification methods including multinomial naïve bayes, bernoulli naïve bayes and gaussian naïve bayes by applying TF-IDF feature extraction to determine the best complaint category classification method. …”
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Sentiment Analysis of Rohingya Refugees in Aceh using Support Vector Machine (SVM) and Multinomial Logistic Regression by Gigih Army Buana Baliputra, Slamet Kacung, Budi Santoso

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A Multinomial Asymptotic Representation of Zenga's Discrete Index, its Influence Function and Data-driven Applications by Tchilabalo Abozou Kpanzou, Diam Ba, Gandasor Bonyiri Onesiphore Da, Gane Samb Lo

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Multinomial logistic regression algorithm for the classification of patients with parkinsonisms by Eva Štokelj, Tomaž Rus, Jan Jamšek, Maja Trošt, Urban Simončič

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ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA by Laila Qadrini, Hikmah Hikmah, Elviani Tande, Ignasius Presda, Aulia Atika Maghfirah, Nilawati Nilawati, Handayani Handayani

“…The analysis of classification outcomes across the three datasets suggests that the ensemble resampling SVM approach and multinomial regression exhibit superior performance compared to the ensemble SVM and multinomial regression approaches when applied to non-resampled data. …”
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Health status analysis of blood donors: based on the ordinal multinomial logistic regression model by FENG Fanfan, XIE Guiyun, DENG Xuecheng, OUYANG Jian, CHEN Chong, HONG Xiaochun, ZENG Sihai, ZHANG Yue, HUANG Manyu, CHEN Jinyan, RONG Xia, LI Shijie

“…In addition, 2.8% (364/13 042) and 1.3% (172/13 042) of the donors may have moderate to severe depression and anxiety symptoms, respectively. …”
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Delays reduce culprit-presence detection but do not affect guessing-based selection in response to lineups by Amelie Therre, Raoul Bell, Nicola Marie Menne, Carolin Mayer, Ulla Lichtenhagen, Axel Buchner

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MULTINOMIAL LOGISTIC REGRESSION MODEL USING MAXIMUM LIKELIHOOD APPROACH AND BAYES METHOD ON INDONESIA'S ECONOMIC GROWTH PRE TO POST COVID-19 PANDEMIC by Arie Purwanto, Muhammad Aziz Suprayogi, Erwan Setiawan, Joao Ferreira Rendes Bean Loly, Gusti Arviana Rahman, Anang Kurnia

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Selecting learning partners: memory for participation and competence by Oktay Ülker, Daniel Bodemer

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Comparative Factors Influencing Patterns of Participation in Cassava Value Chain Activities Amongst Smallholder Processors in Kwara and Kogi State, Nigeria by Eliza Aderonke Adedoyin, David Ahmed Adamu, Isaac Tunde Oyebamiji, Deborah Adedoyin Olabode, Olugbenga Agbana, Chiwendu Vivian Ohaeri

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PREDICTIVE DISTRIBUTION TO DETERMINE LEARNING MODEL AT THE STRATEGIC COMPETENCE LEVEL OF STUDENTS IN STATISTICS GROUP COURSE by Mokhammad Ridwan Yudhanegara, Karunia Eka Lestari

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A Study on the Dynamic Relationship between Embodied Carbon Productivity and Embodied Value Added in China’s Industrial Sectors: An Empirical Analysis Based on the Decoupling Model... by Lei WANG, Jianbo HU, Zhipeng LUO

“…(ii) As the embodied value added of the 28 industrial subsectors expanded, the changes in their embodied carbon productivity were different. This process can be roughly classified into three main phases: The first phase is the extensive growth period of 2002–2005, in which the embodied carbon productivity of most industrial subsectors declined while the embodied value added expanded; the second phase is the low-carbon transformation and development period of 2005–2012, during which the recessive positive-efficiency emission reduction became the dominant mode; and the third phase is the low-carbon development period of 2012–2020, in which the high-efficiency emission reduction became the dominant mode. …”
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Consumers’ response to genetically modified food: an Italian case study by Federica DeMaria, Simona Romeo Lironcurti, Federica Morandi, Alessandra Pesce, Laura Gazza, Francesca Nocente

“…Through data collected from an original survey (N = 564), we tested a) their level of knowledge of GM techniques; b) if they are aware of differences between established techniques based on classical approaches of crossing and selection and more precise biotechnological techniques; c) their propensity to buy GM food, with a specific focus on food safety and environmental sustainability issues. By using a Multinomial Logit Model (MNL), starting from three hypotheses, the study highlights a gap in knowledge transfer and, in general, the communication process. …”
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Microspatial Heterogeneities and the Absence of Postmortem Contamination in Alzheimer’s Disease Brain Microbiota: An Alzheimer’s Pathobiome Initiative (AlzPI) Study by Myat N. Thwe, Yves Moné, Bhaswati Sen, Samuel Czerski, Ahmed Azad, Joshua P. Earl, Donald C. Hall, Garth D. Ehrlich

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Estudio predictivo de la eficacia de la recepción en voleibol juvenil masculino (Predictive study of reception efficacy in U-19 male volleyball) by Isabel Carrero, Carmen Fernández-Echeverría, Jara González-Silva, Manuel Conejero, M. Perla Moreno

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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis by Shengxian Yan, Yuyang Lei, Jing Zhang, Xiao Gao, Xiang Li, Penghui Wang, Hui Cao

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Maximum Approximated Likelihood Estimation in Generalized Linear Multilevel Model for Nominal Response with Covariates Subject to Measurement Error by Maryam Ahangari, Mousa Golalizadeh, Zahra Rezaei Ghahroodi

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Remote sensing of rice leaf folder damage using ground-based hyperspectral radiometry by Mathyam Prabhakar, Ch Padmavathi, Merugu Thirupathi, Srasvan Kumar Golla, Uppu Sai Sravan, G. Ramachandra Rao, Madduri Kalpana, Vallabuni Sailaja, Pebbeti Chandana, Yenumula G. Prasad, M. Srinivasa Rao, V.K. Singh, Rajbir Singh

“…The spectral data was interpolated using ASD ViewSpecPro software in the post-processing to produce values at each nanometer. Multinomial logistic regression analysis (MLR) was performed to identify the sensitive bands (396, 675, 764, 1123 and 1458 nm) specific to leaf folder damage. …”
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Enhanced Category-Feature Association Measure by Soran S. Badawi, Ari M. Saeed, Sara A. Ahmed, Diyari A. Hassan

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