Cargando…
Graphical Aids to the Estimation and Discrimination of Uncertain Numerical Data
This research investigates the performance of graphical dot arrays designed to make discrimination of relative numerosity as effortless as possible at the same time as making absolute (quantitative) numerosity estimation as effortful as possible. Comparing regular, random, and hybrid (randomized reg...
Autores principales: | Jeong, Myeong-Hun, Duckham, Matt, Bleisch, Susanne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634229/ https://www.ncbi.nlm.nih.gov/pubmed/26505199 http://dx.doi.org/10.1371/journal.pone.0141271 |
Ejemplares similares
-
Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field
por: Jeong, Myeong-Hun, et al.
Publicado: (2015) -
Numerical solution and parameter estimation for uncertain SIR model with application to COVID-19
por: Chen, Xiaowei, et al.
Publicado: (2020) -
Estimating numerical error in neural network simulations on Graphics Processing Units
por: Turner, James P, et al.
Publicado: (2015) -
On graphical and numerical field plotting
por: Regenstreif, E
Publicado: (1954) -
Soft numerical computing in uncertain dynamic systems
por: Allahviranloo, Tofigh, et al.
Publicado: (2020)