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Open Journal of Statistics (OJS) is an international journal dedicated to the latest advancements in statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of statistics. All…
Fabio Manca, Angelo Vacca, Claudia Marin, Angelo Valerio, Elita Anna Sabella
This paper extends the closed-form formula of Gini’s mean difference for the lognormal distribution, originally obtained by Girone and Manca (2016). The following are analyzed: 1) the asymptotic behavior of the scale parameter for γ → 0 (degeneration of the d…
Yi Zhang
Bivariate survival data with dependent event times and censored observations are common in medical research. Traditional survival analysis methods cannot effectively capture such dependence structures. In this paper, we propose bivariate Clayton Weibull (BCW)…
Hans Rönnqvist
Engineering decisions are often based on fitted relationships derived from limited datasets, where individual observations may exert disproportionate influence on interpretation. This paper presents a practical framework for assessing the robustness of such r…
Jiawei Zhu, Gaili Xu
Social network large-scale group decision-making (SN-LSGDM) has become an important research topic in the field of decision science. However, the current methods have some limitations: the trust network ignores the influence of opinions, the weights of decisi…
Huan Wang, Quanxi Feng, 1 1
Based on panel data from 31 provincial-level administrative divisions in China (excluding Hong Kong, Macao, and Taiwan region) from 2000 to 2024, this study employs the coupling coordination degree model and the standard deviation ellipse method to systematic…
Shelmith Wanjiru Nderi, Samuel Mwalili, Damaris Mulwa
This study investigates the application of survival analysis techniques to credit risk modelling in microfinance lending. Traditional approaches focus on modelling the probability of default at a fixed point in time, without accounting for the timing and evol…
Xiaoxia Ruan, Gaili Xu
Probabilistic linguistic term sets (PLTSs) can flexibly express uncertain evaluation information provided by decision makers (DMs). Large-group multi-attribute decision making (LGMADM) problems usually involve uncertainty, heterogeneity, and strong subjectivi…
Kazeem A. Adepoju, Galin L. Jones
Kernel Density Estimation (KDE) is widely used for estimating unknown probability densities. Classical kernel forms are fixed-shape smoothers that may degrade under skewness and contamination. This study evaluates a Kumaraswamy-transformed Normal kernel (KwNo…
Bakary Traore, Ibrahima Sory Mamikouny Camara, Alpha Oumar Baldé
Various models for time series of count data account for discreteness, overdispersion and serial dependence. In addition to these, accounting for covariates incorparation pattern are the complexities that arise while dealing with data which involve seasonalit…
José Moral de la Rubia
Measures of interindividual variation are rarely used or studied in descriptive/inference statistics, despite constituting a third approach to describing data variability, alternative to ranges (the difference between two extreme measures of position) and to…
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Open Journal of Statistics (OJS) is an international journal dedicated to the latest advancements in statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of statistics. All… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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