Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Estimation and Prediction for the Bounded Transformed Gamma Process: A Bayesian Approach
Estimation and Prediction for the Bounded Transformed Gamma Process: A Bayesian Approach
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Massimiliano Giorgio
,
Fabio Postiglione
,
Gianpaolo Pulcini
Format:
Artículo Open Access
Published:
Wiley
2025
Subjects:
Applied Stochastic Models in Business and Industry
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://onlinelibrary.wiley.com/doi/10.1002/asmb.70054
Similar Items
Bayesian Hierarchical Modeling of Noisy Gamma Processes: Formulation and Extensions for Unit‐To‐Unit Variability
by: Ryan Leadbetter, et al.
Published: (2025)
Normal Deviation of Gamma Processes in Random Environment With Applications
by: Nikolaos Limnios
Published: (2025)
Discussing Cascading Failures: The Bursting Point Processes Approach
by: Maxim Finkelstein, et al.
Published: (2025)
An Adaptive Learning Approach to Multivariate Time Forecasting in Industrial Processes
by: Fernando Miguelez, et al.
Published: (2025)
On a New Point Process Approach to Reliability Improvement Modeling for Repairable Systems
by: Maxim Finkelstein, et al.
Published: (2024)