Cargando…

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-robust in the presence of possible data contamin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Castilla, Elena, Ghosh, Abhik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606857/ https://www.ncbi.nlm.nih.gov/pubmed/37895543 http://dx.doi.org/10.3390/e25101422

Ejemplares similares

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
por: Pate, Alexander, et al.
Publicado: (2023)

Bayesian Lasso and multinomial logistic regression on GPU
por: Češnovar, Rok, et al.
Publicado: (2017)

Validation and updating of risk models based on multinomial logistic regression
por: Van Calster, Ben, et al.
Publicado: (2017)

Classification of COVID19 Patients Using Robust Logistic Regression
por: Ghosh, Abhik, et al.
Publicado: (2022)

Evaluation of multinomial logistic regression models for predicting causative pathogens of food poisoning cases
por: INOUE, Hideya, et al.
Publicado: (2018)

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model
por: Mazanec, Jaroslav, et al.
Publicado: (2023)

RAMRSGL: A Robust Adaptive Multinomial Regression Model for Multicancer Classification
por: Wang, Lei, et al.
Publicado: (2021)

Multinomial and ordinal Logistic regression analyses with multi-categorical variables using R
por: Liang, Jiaqi, et al.
Publicado: (2020)

Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression
por: Li, Juntao, et al.
Publicado: (2022)

Multinomial logistic regression approach to haplotype association analysis in population-based case-control studies
por: Chen, Yi-Hau, et al.
Publicado: (2006)

Analysing outlier communities to child birth weight outcomes in Malawi: application of multinomial logistic regression model diagnostics
por: Sakala, Natasha, et al.
Publicado: (2022)

Intrinsic Dimension Estimation-Based Feature Selection and Multinomial Logistic Regression for Classification of Bearing Faults Using Compressively Sampled Vibration Signals
por: Ahmed, Hosameldin O. A., et al.
Publicado: (2022)

Robust Aggregation for Federated Learning by Minimum γ-Divergence Estimation
por: Li, Cen-Jhih, et al.
Publicado: (2022)

Clustering microbiome data using mixtures of logistic normal multinomial models
por: Fang, Yuan, et al.
Publicado: (2023)

Sample size considerations and predictive performance of multinomial logistic prediction models
por: de Jong, Valentijn M. T., et al.
Publicado: (2019)

Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
por: Jostins, Luke, et al.
Publicado: (2016)

Determinants of infant feeding practices among Black mothers living with HIV: a multinomial logistic regression analysis
por: Etowa, Josephine, et al.
Publicado: (2021)

Composite Likelihood Methods Based on Minimum Density Power Divergence Estimator
por: Castilla, Elena, et al.
Publicado: (2017)

Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
por: Teshale, Achamyeleh Birhanu, et al.
Publicado: (2022)

Factors Associated with Low Uptake of Medical Male Circumcision Among Adolescent Boys in Tanzania: A Multinomial Logistic Regression Modeling
por: Bendera, Anderson, et al.
Publicado: (2022)

Retrospective Analysis of the Outcome of Hospitalized COVID-19 Patients with Coexisting Metabolic Syndrome and HIV Using Multinomial Logistic Regression
por: Mphekgwana, Peter M., et al.
Publicado: (2023)

Factors associated with unmet need for family planning in sub-Saharan Africa: A multilevel multinomial logistic regression analysis
por: Teshale, Achamyeleh Birhanu
Publicado: (2022)

Correlated mutations via regularized multinomial regression
por: Sreekumar, Janardanan, et al.
Publicado: (2011)

Awareness Level of Business Students regarding Drinking Water Safety and Associated Adulteration Accidents: A Multinomial Logistic Regression Approach
por: Zahid, R. M. Ammar, et al.
Publicado: (2022)

Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes
por: Hoskovec, Lauren, et al.
Publicado: (2022)

Multinomial logistic regression model to assess the levels in trans, trans-muconic acid and inferential-risk age group among benzene-exposed group
por: Mala, A., et al.
Publicado: (2010)

Modern contraceptive method utilization and determinant factors among women in Ethiopia: Multinomial logistic regression mini- EDHS-2019 analysis
por: Negash, Berhan Tsegaye, et al.
Publicado: (2023)

Determinants of place birth: a multinomial logistic regression and spatial analysis of the Ethiopian mini demographic and health survey data, 2019
por: Gudayu, Temesgen Worku
Publicado: (2022)

Parental Perceptions of Youths’ Desirable Characteristics in Relation to Type of Leisure: A Multinomial Logistic Regression Analysis of Martial-Art-Practicing Youths
por: Mickelsson, Tony Blomqvist
Publicado: (2022)

Maternal and anaesthesia-related risk factors and incidence of spinal anaesthesia-induced hypotension in elective caesarean section: A multinomial logistic regression
por: Fakherpour, Atousa, et al.
Publicado: (2018)

Factors influencing unmet need for family planning among Ghanaian married/union women: a multinomial mixed effects logistic regression modelling approach
por: Guure, Chris, et al.
Publicado: (2019)

Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014
por: Wulifan, Joseph K., et al.
Publicado: (2019)

Determinants of communication on sexual issues between adolescents and their parents in the Adaklu district of the Volta region, Ghana: a multinomial logistic regression analysis
por: Klu, Desmond, et al.
Publicado: (2022)

The multinomial index: a robust measure of reproductive skew
por: Ross, Cody T., et al.
Publicado: (2020)

Predicting GP visits: A multinomial logistic regression investigating GP visits amongst a cohort of UK patients living with Myalgic encephalomyelitis
por: Walsh, R. Stephen, et al.
Publicado: (2020)

Level of Palliative Care Complexity in Advanced Cancer Patients: A Multinomial Logistic Analysis
por: Carrasco-Zafra, Maria Isabel, et al.
Publicado: (2020)

A coarsened multinomial regression model for perinatal mother to child transmission of HIV
por: Gard, Charlotte C, et al.
Publicado: (2008)

Dirichlet negative multinomial regression for overdispersed correlated count data
por: Farewell, Daniel M., et al.
Publicado: (2013)

Applying multinomial logistic regression to prediction effect of environmental and vehicle type factors on the severity of road accidents (Case study: Tabriz-Ahar Road)
por: Kazempour, Yousef, et al.
Publicado: (2019)

Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models
por: Liu, Dawei, et al.
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_5lhg9dqcot9sb8k15u0fjpgnq2