Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel multivariate data analytics for an economics example in the textile industry-Reference-Cited by-同舟云学术

Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel multivariate data analytics for an economics example in the textile industry

Published:2018-09-24 Issue:1 Volume:35 Page:112-117
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Leiva Víctor¹^ORCID,Aykroyd Robert G.²^ORCID,Marchant Carolina³^ORCID

Affiliation:

1. School of Industrial EngineeringPontificia Universidad Católica de Valparaíso Valparaíso Chile

2. Department of StatisticsUniversity of Leeds Leeds UK

3. Faculty of Basic SciencesUniversidad Católica del Maule Talca Chile

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2401

Reference23 articles.

1. A new family of life distributions

2. A Log-Linear Model for the Birnbaum-Saunders Distribution

3. Robust estimation of the Birnbaum-Saunders distribution

4. On limit distributions emerging in the generalized Birnbaum-Saunders model

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting PM2.5 and PM10 Levels during Critical Episodes Management in Santiago, Chile, with a Bivariate Birnbaum-Saunders Log-Linear Model;Mathematics;2021-03-18

2. A bivariate fatigue-life regression model and its application to fracture of metallic tools;Brazilian Journal of Probability and Statistics;2021-02-01

3. Bivariate Birnbaum-Saunders accelerated lifetime model: estimation and diagnostic analysis;Journal of Applied Statistics;2020-12-14

4. [Invited tutorial] Birnbaum–Saunders regression models: a comparative evaluation of three approaches;Journal of Statistical Computation and Simulation;2020-08-06

5. Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression;Stochastic Environmental Research and Risk Assessment;2020-07-29