Results 61 to 70 of about 356,273 (307)
METHODS FOR REFINING ASSESSMENT OF TEST-TAKERS BASED ON ITEM RESPONSE THEORY MODEL
This research is devoted to assessment methods used in different test systems, including e-learning systems. The methods considered here are based on classical test theory and item response theory (IRT).
OLEKSANDR SOKOLOV +2 more
doaj
Citation: 'logit' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.L03613 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire +1 more source
On the Equivalence of Location Choice Models: Conditional Logit, Nested Logit and Poisson [PDF]
It is well understood that the two most popular empirical models of location choice - conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific.
Kurt Schmidheiny, Marius Brülhart
core
ABSTRACT Blood‐based liquid biopsies hold transformative potential for non‐invasive cancer management, but current approaches relying on rare circulating tumor components limit their broad clinical utility. Platelets, abundant in blood and mediating diverse cancer‐associated responses, represent a compelling yet largely unexplored alternative.
Yan Ma +28 more
wiley +1 more source
Factores determinantes de la actividad en el mercado laboral gallego. Influencia del género [PDF]
En este trabajo se estudian las características personales que determinan la actividad (ocupación o paro) en la población gallega. Para ello se construye el modelo de actividad, en el cual se estima la probabilidad de que una persona en edad de trabajar
Mª Carmen Sánchez Sellero
doaj
A very brief survey of regression for categorical data. Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest ...
A. Colin Cameron
core
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
En este artículo se analiza el efecto marginal de diversas variables socioeconómicas sobre la probabilidad condicional de que un propietario de negocio presente algún grado de inclusión financiera.
Miguel Ángel Rendón Valdés +1 more
doaj +1 more source
Efficient conjoint choice designs in the presence of respondent heterogeneity. [PDF]
The authors propose a fast and efficient algorithm for constructing D-optimal conjoint choice designs for mixed logit models in the presence of respondent heterogeneity.
Goos, Peter +2 more
core
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source

