https://adac.ee/index.php/stat/issue/feed 2026-01-09T22:44:31+08:00 Editorial Office [email protected] Open Journal Systems <p>European Journal of Statistics is a peer-reviewed journal with European and international perspectives, devoted to publishing research articles on all aspects of statistics.</p> https://adac.ee/index.php/stat/article/view/471 2025-11-08T16:56:37+08:00 Edoh Katchekpele [email protected] Issa Cherif Geraldo [email protected] Tchilabalo Abozou Kpanzou [email protected]

<p>Transmutation is a widely used technique for generalizing probability distributions to improve data fitting. Its implementation often relies on maximum likelihood estimation, which reduces to a box-constrained numerical optimization problem. Despite this, many studies overlook the crucial role of the initial values required to start the optimization algorithm. In this paper, we demonstrate through two case studies on real data that improper parameter initialization can lead to convergence toward local maxima, ultimately resulting in biased estimates and incorrect conclusions. We show that the choice of starting values can significantly affect both the convergence behavior and the reliability of the final results. This study highlights the need for greater methodological rigor and increased awareness regarding parameter initialization in iterative estimation procedures, particularly within the context of transmuted distributions in order to avoid erroneous conclusions.</p>

2026-01-09T00:00:00+08:00 Copyright (c) 2026 European Journal of Statistics https://adac.ee/index.php/stat/article/view/425 2025-08-12T05:35:46+08:00 Allison Powell [email protected] Paramahansa Pramanik [email protected]

<p>Prostate cancer (PCa) continues to be a major health issue for men around the world. While treatment advances have improved outcomes for many, aggressive forms of PCa still lead to high mortality rates. Recent research highlights the MYB gene as an important contributor to tumor growth, therapy resistance, and recurrence. What is more, MYB appears to be expressed at significantly higher levels in tumors from Black men compared to White men, suggesting a possible explanation for observed racial disparities in outcomes. This paper examines MYB expression in relation to tumor progression, androgen receptor (AR) activity, and the likelihood of biochemical recurrence. Through a combination of tissue analysis, digital imaging, and public gene expression databases, we show that MYB may be a strong predictor of poor prognosis and could serve as a future target for more personalized treatment strategies.</p>

2026-01-09T00:00:00+08:00 Copyright (c) 2026 European Journal of Statistics