Results 81 to 90 of about 840,245 (337)
Prediction of body image dissatisfaction in university students by multivariate statistical methods
Acta Scientiarum. Health Sciences, 2019 Overweight and obesity are responsible for significant costs of the Brazil’s public health system and can modify the self-perception of the body image, attitudes, cognitions and thoughts.
Vinícius Rodrigues Arruda Pinto +2 more
doaj +1 more source
Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data
Journal of the American Statistical Association, 2020 We propose a new method for analysis of multivariate point pattern data observed in a heterogeneous environment and with complex intensity functions. We suggest semiparametric models for the intensity functions that depend on an unspecified factor common
Kristian Bjørn Hessellund +3 more
semanticscholar +1 more source
Agribusiness, EarlyView.ABSTRACT Climate variability is affecting the productivity, profitability, and resilience of smallholder dairy producers in developing countries. The adoption of climate‐smart (CS) dairy practices has been promoted to mitigate these negative effects. However, while interest in dairy CS practices is growing, empirical evidence on their adoption patterns
Mercy Mburu +4 more
wiley +1 more source
Computational consideration for selection of social classes in Romania [PDF]
Revista Română de Statistică, 2015 Middle class is a subject discussed by almost everyone, judging it in most cases from the visible living standard’s point of view: having the ownership of the dwelling, a car, making trips inside country or abroad, buying good quality and expensive goods
Andoria Ioniţă
doaj
Agribusiness, EarlyView.ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
UTILIZING MULTINOMIAL LOGISTIC REGRESSION FOR DETERMINING THE FACTORS INFLUENCING BLOOD PRESSURE
Science Journal of University of ZakhoThe aim of this study is to investigate the practical application of the Multinomial (many explanatory variables and many categories) Logistic Regression (MLR) model, which is a fundamental tool for analyzing not only for scale data but also for ...
Azad A. Shareef +2 more
doaj +1 more source
Journal of Physics: Conference Series, 2020 Every student basically wants to get the opportunity to achieve satisfactory academic performance. But from daily reality, it seems clear that students have differences in intellectual abilities, physical abilities, family background, habits and learning
A. Abdillah +4 more
semanticscholar +1 more source
Application of Multinomial Logistic Regression to Model the Impact of Rainfall Genesis on the Performance of Storm Overflows: Case Study [PDF]
, 2022 Bartosz Szeląg +7 more
openalex +1 more source
The Role of Certifications in Improving Household Food Security Among Peruvian Farmers
Agribusiness, EarlyView.ABSTRACT Achieving global food security requires sustainable transformations in agri‐food systems. Voluntary Sustainability Standards (VSS) such as Organic and Fairtrade aim to internalize certain social and environmental costs while promoting more equitable value distribution, improved market access, and sustainable production practices.
Lisa‐Marie Schulte, Awudu Abdulai
wiley +1 more source
Partitioned conditional generalized linear models for categorical data [PDF]
, 2014 In categorical data analysis, several regression models have been proposed for hierarchically-structured response variables, e.g. the nested logit model. But they have been formally defined for only two or three levels in the hierarchy.
Guédon, Yann +2 more
core +4 more sources