An Inverse Gaussian-based Degradation Process with Covariate-Dependent Random Effects

Authors

Antonio Piscopo (ORCID: https://orcid.org/0000-0003-3967-3918)
Bruno Castanier (ORCID: https://orcid.org/0000-0002-3735-3331)
Mitra Fouladirad (ORCID: https://orcid.org/0000-0002-0482-5347)
Massimiliano Giorgio (ORCID: https://orcid.org/0000-0002-5348-5289)

Institutions

Aix-Marseille Université (FR)
Laboratoire Angevin de Recherche en Mathématiques (FR)
Federico II University Hospital (IT)
Scuola Superiore Meridionale (IT)
Université d'Angers (FR)
University of Naples Federico II (IT)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.3850/978-981-94-3281-3_esrel-sra-e2025-p8151-cd
Primary Topic: Multi-Criteria Decision Making
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

An Inverse Gaussian-based Degradation Process with Covariate-Dependent Random Effects

Antonio Piscopo, Bruno Castanier, Mitra Fouladirad, Massimiliano Giorgio

Jan 1, 2025

Multi-Criteria Decision Making

article

An Inverse Gaussian-based Degradation Process with Covariate-Dependent Random Effects

Antonio Piscopo, Bruno Castanier, Mitra Fouladirad, Massimiliano Giorgio

January 1, 2025article en

Abstract

No abstract available for this paper.

Aix-Marseille Université (FR), Laboratoire Angevin de Recherche en Mathématiques (FR), Federico II University Hospital (IT), Scuola Superiore Meridionale (IT), Université d'Angers (FR), University of Naples Federico II (IT)

Openalex Percentile: Top 67%

Multi-Criteria Decision Making

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.