Results 111 to 120 of about 840,245 (337)
Analysis &Sensing, EarlyView.Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi +3 more
wiley +1 more source
BMC Medical Research MethodologyBackground Medical outcomes of interest to clinicians may have multiple categories. Researchers face several options for risk prediction of such outcomes, including dichotomized logistic regression and multinomial logit regression modeling.
Lei Li +3 more
doaj +1 more source
On Pearson's X^2 for categorical response variables [PDF]
In this talk I discuss Pearson's X2 as a measure of goodness of fit for quantal response models, including binary outcome models (logit, probit, gompit), multinomial logistic regression (mlogit) and conditional logistic regression (clogit).
Jeroen Weesie
core
British Educational Research Journal, EarlyView.Abstract Higher education in the United Kingdom has dramatically expanded in recent decades, along with questions about its effectiveness in preparing graduates for the labour market. With rising tuition fees and increasing competition for graduate jobs, many students opt to study ‘professional’ subjects—fields closely tied to specific professions ...
Sarah Pemberton
wiley +1 more source
Scientific AfricanThe multinomial logistic regression model (MLRM) is commonly used to analyze relationships between a categorical response variable and multiple explanatory variables.
Mohamed R. Abonazel +3 more
doaj +1 more source
Hybrid Deterministic-Stochastic Methods for Data Fitting
, 2011 Many structured data-fitting applications require the solution of an optimization problem involving a sum over a potentially large number of measurements.
Kumar S. +5 more
core +4 more sources
British Educational Research Journal, EarlyView.Abstract The study used descriptive and multivariate statistics analytical methods to explore relationships between the highest level of education expected by 15‐year‐old Romanian students and factors associated with student background (personal and academic), school characteristics and selected beliefs and social–emotional skills.
Camelia Truța +4 more
wiley +1 more source
Emotional Analysis Using Multinomial Logistic Regression
Indian Journal of Science and Technology, 2016 Background: Emotions have been widely used in psychology and behavior sciences as they are important elements of human nature. We expect a machine to behave like a human, in this digital era. Since the machines do not understand the emotional state of the speaker easily, it is not very easy to get a natural interaction between machine and man.
E. Poovammal +3 more
openaire +1 more source
Eco‐Innovation: Drivers and Obstacles for Agriculture Firms in a Developing Country
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainable agriculture is becoming increasingly vital for food security and economic growth, particularly as the agricultural sector grapples with challenges posed by climate change. This study, grounded in the environmental innovation theory, resource‐based view, and dynamic capabilities approach, uses logistic and multinomial logistic ...
Nelyda Campos‐Requena +4 more
wiley +1 more source
Remote Sensing, 2017 Although sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional features and manually set initial regressor values.
Faxian Cao +5 more
doaj +1 more source