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A tutorial on Fisher information
In many statistical applications that concern mathematical psychologists, the concept of
Fisher information plays an important role. In this tutorial we clarify the concept of Fisher …
Fisher information plays an important role. In this tutorial we clarify the concept of Fisher …
Remarks on the use of Pearson's and Spearman's correlation coefficients in assessing relationships in ophthalmic data
AM Alsaqr - African Vision and Eye Health, 2021 - avehjournal.org
Background: A correlation coefficient is a measure of a relationship between any two
quantitative and categorical variables. The coefficient describes the degree of relationship …
quantitative and categorical variables. The coefficient describes the degree of relationship …
Bayesian inference for psychology. Part II: Example applications with JASP
Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing.
Part I of this series outlined several advantages of Bayesian hypothesis testing, including the …
Part I of this series outlined several advantages of Bayesian hypothesis testing, including the …
Investigation on compressive strength of coral aggregate concrete: hybrid machine learning models and experimental validation
Z Sun, Y Li, Y Li, L Su, W He - Journal of Building Engineering, 2024 - Elsevier
The compressive strength of coral aggregate concrete (CAC-CS) holds importance in
structural engineering and architectural design. Thus, this study establishes machine …
structural engineering and architectural design. Thus, this study establishes machine …
[HTML][HTML] Water quality prediction based on machine learning and comprehensive weighting methods
X Wang, Y Li, Q Qiao, A Tavares, Y Liang - Entropy, 2023 - mdpi.com
In the context of escalating global environmental concerns, the importance of preserving
water resources and upholding ecological equilibrium has become increasingly apparent …
water resources and upholding ecological equilibrium has become increasingly apparent …
TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling
Multinomial processing tree (MPT) models are a class of measurement models that account
for categorical data by assuming a finite number of underlying cognitive processes …
for categorical data by assuming a finite number of underlying cognitive processes …
[HTML][HTML] Informed Bayesian t-tests
Across the empirical sciences, few statistical procedures rival the popularity of the frequentist
t-test. In contrast, the Bayesian versions of the t-test have languished in obscurity. In recent …
t-test. In contrast, the Bayesian versions of the t-test have languished in obscurity. In recent …
Investigation of electrical resistivity for fiber-reinforced coral aggregate concrete
Z Sun, Y Li, L Su, D Niu, D Luo, W He, S **e - Construction and Building …, 2024 - Elsevier
The application of fiber-reinforced coral aggregate concrete (FRCAC) holds importance in
alleviating material scarcity for island and reef construction and in enhancing structural …
alleviating material scarcity for island and reef construction and in enhancing structural …
[HTML][HTML] Early quality classification and prediction of battery cycle life in production using machine learning
An accurate determination of the product quality is one of the key challenges in lithium-ion
battery (LIB) production. Since LIBs are complex, electrochemical systems, conventional …
battery (LIB) production. Since LIBs are complex, electrochemical systems, conventional …
Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ
Bayesian inference for rank-order problems is frustrated by the absence of an explicit
likelihood function. This hurdle can be overcome by assuming a latent normal …
likelihood function. This hurdle can be overcome by assuming a latent normal …