Frontiers in Applied Mathematics and Statistics

Original Research

Published on 15 Oct 2025

An innovative hybrid control chart combining wavelet decomposition and support vector machine for effective outlier detection

Taha Hussein Ali
Hutheyfa Hazem Taha
Bekhal Samad Sedeeq
Heyam A. A. Hayawi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1682448

604 views

Original Research

Accepted on 14 Oct 2025

The Smooth Transition Autoregressive Models for the Unemployment Rate of Latvia

Oksana Pavlenko

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1673247

Original Research

Published on 14 Oct 2025

Bootstrap confidence intervals of process capability indices Cpy and CNpmk using different methods of estimation for Frechet distribution

Tahira Kanwal
Kamran Abbas
Mehwish Zaman
Zamir Hussain

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1668809

669 views

Original Research

Published on 14 Oct 2025

Dynamical behavior of a stochastic SEIQRV infectious model with an Ornstein-Uhlenbeck process and general incidence

Wen-He Li
Ke-Jia Wu

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1687991

522 views

Original Research

Accepted on 09 Oct 2025

Forecasting epidemic peaks with index of dispersion of new cases

Jacques Demongeot
Haiwe Adam Ouangko
Maryam Diarra
Leila Gofti-Laroche

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1670077

201 views

Hypothesis and Theory

Accepted on 09 Oct 2025

Institutional Adaptation of Triple Helix: Digital Transformation in China's Logistics Sector – Theory and Validation

Li Jing

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1622624

204 views

Original Research

Published on 08 Oct 2025

The new generalized odd Median Based Unit Rayleigh

Iman M. Attia

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1648127

727 views

Original Research

Accepted on 06 Oct 2025

Dependence Modeling and Portfolio Optimization with Copula-GARCH: A European Investment Perspective

Jegors Fjodorovs
Andrejs Matvejevs
Anastasija Vasiljeva

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1675120

205 views

Brief Research Report

Accepted on 03 Oct 2025

Mathematical model for data-driven synthesis of neuron morphologies based on random walks

Francesco Cavarretta

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1632271

257 views

Original Research

Published on 01 Oct 2025

Conditions for perfect transmission of quantum particles across layered heterostructures and resonance effects of an auxiliary well potential

Yaroslav Zolotaryuk
Alexander V. Zolotaryuk

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1636414

872 views

Original Research

Accepted on 17 Sep 2025

EESB-FDO: Enhancing the Fitness Dependent Optimizer Through a Modified Boundary Handling Mechanism

Aram Kamal Faraj
Aso M Aladdin
Azad A Ameen

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1640044

724 views

Original Research

Published on 17 Sep 2025

Plug-and-play low-rank tensor completion and reconstruction algorithms with improved applicability of tensor decompositions

Manabu Mukai
Hidekata Hontani
Tatsuya Yokota

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1594873

1,384 views

Original Research

Published on 17 Sep 2025

Neutrosophic regression type estimator for the finite population mean and its applications in real data scenarios

Neha Purwar
Kaustav Aditya
B
Pankaj Das
Tauqueer Ahmad

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1658157

840 views

Original Research

Published on 16 Sep 2025

Evaluating two statistical methods for handling dropout impact in repeated measures data: a comparative study on missing at random assumption

Mohyaldein Salih
Ali Satty
Henry Mwambi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1636153

858 views

Methods

Accepted on 15 Sep 2025

Estimating and Testing Blip Effects of Treatments in Sequence via Standardised Point Effects of Treatments

Yaqin Liao
Yihong Lan
Li Yin
Xiaoqin Wang

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1650059

417 views

Original Research

Published on 15 Sep 2025

A deep learning forecasting of downside risk: application of a combined ESRNN-VAE

Caston Sigauke
Ntebogang Moroke
Katleho Makatjane
Claris Shoko

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1662252

1,034 views

872 Publications

Volume 11 - 2025

An innovative hybrid control chart combining wavelet decomposition and support vector machine for effective outlier detection

The Smooth Transition Autoregressive Models for the Unemployment Rate of Latvia

Bootstrap confidence intervals of process capability indices Cpy and CNpmk using different methods of estimation for Frechet distribution

Dynamical behavior of a stochastic SEIQRV infectious model with an Ornstein-Uhlenbeck process and general incidence

Forecasting epidemic peaks with index of dispersion of new cases

Institutional Adaptation of Triple Helix: Digital Transformation in China's Logistics Sector – Theory and Validation

The new generalized odd Median Based Unit Rayleigh

Dependence Modeling and Portfolio Optimization with Copula-GARCH: A European Investment Perspective

Mathematical model for data-driven synthesis of neuron morphologies based on random walks

Conditions for perfect transmission of quantum particles across layered heterostructures and resonance effects of an auxiliary well potential

EESB-FDO: Enhancing the Fitness Dependent Optimizer Through a Modified Boundary Handling Mechanism

Plug-and-play low-rank tensor completion and reconstruction algorithms with improved applicability of tensor decompositions

Neutrosophic regression type estimator for the finite population mean and its applications in real data scenarios

Evaluating two statistical methods for handling dropout impact in repeated measures data: a comparative study on missing at random assumption

Estimating and Testing Blip Effects of Treatments in Sequence via Standardised Point Effects of Treatments

A deep learning forecasting of downside risk: application of a combined ESRNN-VAE