Analysis of Variances (ANOVA): What it Means, How it Works

Analysis of variances (ANOVA) is a statistical examination of the differences between all of the variables used in an ...

Heuristics in Action: Pros, Cons, and Real-Life Examples

Heuristics simplify decision-making by using mental shortcuts. Understand their pros, cons, and examples in finance and ...

Global map reveals mining's uneven toll on forests and biodiversity

A new study led by Japanese researchers from Tohoku University and the National Institute for Environmental Studies (NIES) reveals that some of the minerals most essential for green technologies may ...
note

[Statistics Grade 2] Day 9 — Description of Bivariate Data (1) Scatter Plots and Covariance

Hello! I'm Charpy, a graduate student learning data analysis. For those of you who are thinking, "I want to get certified in Statistics Grade 2, but I don't know where to start..." this series ...
IEEE

Bayesian Analysis of Bivariate Degradation Data Using Hybrid Wiener-Inverse Gaussian Marginal Processes and a Shared Frailty

Abstract: In engineering practice, it is common to observe simultaneous degradation of multiple performance characteristics in a system, in which these characteristics are correlated and exhibit ...
GitHub

LAVA DOCUMENTATION

Josefin Werme (j.werme@vu.nl), Christiaan de Leeuw (c.a.de.leeuw@vu.nl), CTG Lab, VU Amsterdam 2025-06-27 The tutorial will show you how to install and run LAVA using some example input data. If you ...
IEEE

Reliability Analysis Based on a Bivariate Degradation Model Considering Random Initial State and Its Correlation With Degradation Rate

Abstract: Dependent degradation processes of performance characteristics are ubiquitous in engineered systems. The initial state of each degradation process is usually random and relates to the ...