The hazard rate function of the logistic Birnbaum-Saunders distribution: Behavior, associated inference, and application

Alam, Farouq Mohammad A.; Almalki, Abeer Mansour

doi:10.1016/j.jksus.2021.101580

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…The exponential distribution will be used for the censored times and the BS distribution for the observed times. The research on the analysis of survival data has increasingly utilized the BS distribution in recent years [30][31][32][33]. In this study, we will compare the performance of this distribution in the survival analysis.…”

Section: -3-examination Of Simulated Data Curves From the Birnbaum-sa...mentioning

confidence: 99%

Comparison performance of the Bayesian Approach with the Weibull and Birnbaum-Saunders distributions in imputation of time-to-event censors

Shahmirzalou,

Rasekhi,

Jafari Khaledi

et al. 2024

PLoS ONE

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Almost all survival data is censored, and censor imputation is necessary. This study aimed to investigate the performance of the Bayesian Approach (BA) in the imputation of censored records in simulated and Breast Cancer (BC) data. Due to the difference in the distribution of time to event in survival analysis, two well-known the Weibull and Birnbaum-Saunders (BS) distributions have been used to test the performance of the BA. For each of the censored, 10,000 times were simulated using the BA in R and BUGS software, and their median or mean was imputed instead of each censor. The eligibility of both imputation methods was investigated using different curves, different censoring percentages, and sample sizes, as well as the Deviance Information Criteria (DIC), Effective Sample Size, and the Geweke diagnostic in simulated and especially real BC data. The BC data, which contains 220 patients who were identified and followed up between 2015 and 2023, was made accessible on February 1, 2023. The Kaplan-Meier, the BA, and other survival curves were drawn for the observed times. Findings indicated that the performance of the BA under the Weibull and BS distributions in simulated data is similar. The DIC index in the BC data under the BS distribution (1510) is less than the Weibull distribution (1698). Therefore, the BS distribution is preferred over the Weibull for imputation of censoring times in real BC data.

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Section: -3-examination Of Simulated Data Curves From the Birnbaum-sa...mentioning

confidence: 99%

Comparison performance of the Bayesian Approach with the Weibull and Birnbaum-Saunders distributions in imputation of time-to-event censors

Shahmirzalou,

Rasekhi,

Jafari Khaledi

et al. 2024

PLoS ONE

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“…(Nesterov et al, 2022) The development of the transport system has now been carried out by many transport service providers to facilitate the delivery of goods, there are those who pick up goods at the location and pay at the destination country. (Alam & Almalki, 2021) Logistics as a way to collect goods and to deliver them to the recipient, logistics is needed in the delivery of goods. (Moakofi et al, 2021) The distribution of goods will run smoothly if the procedures for shipping goods are carried out properly starting from planning, transporting, shipping and receiving are monitored by a technology system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(Moakofi et al, 2021) The distribution of goods will run smoothly if the procedures for shipping goods are carried out properly starting from planning, transporting, shipping and receiving are monitored by a technology system. (Alam & Almalki, 2021) Logistics functions to help deliver goods safely to their destination. (Silva et al, 2019) The creation of a logistics network system based on multi-modal transport is needed for the delivery of goods to hard-to-reach areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply Chain Performance Improvement Strategy in the Packaging Industry

Soesilo

2023

IJBAE

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The purpose of this study is to determine what factors affect the performance of supply chain management for companies to take the right policy regarding the implementation of an effective system, in this study uses liquid literature and using Mendeley, for the factors that influence significantly Distribution, Warehousing Management Systems. In this study, many reviewed several articles on the topic of the dependent variable and this research can be used as a reference for future research in manufacturing companies. The result that can be seen is that the warehouse management system plays a very important role in supporting the performance of supply chain management in the company. This study does not use population and sample because it is a qualitative literature review.

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On Modeling Cancer and Tuberculosis Data Using the Birnbaum–Saunders Lifetime Model Established on a Logistic Kernel

Alam

Almalki

2022

Applied Sciences

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Due to their importance in representing, explaining, and analyzing phenomena, statistical lifetime distributions are widely used in science. As a result, this paper discusses a modern lifetime model called Birnbaum–Saunders logistic distribution. This distribution extends the Birnbaum–Saunders distribution, as it has proven to be characterized by great flexibility in data modeling in practice. Different features of this distribution have been discussed. The parameters of the model are estimated using the maximum likelihood and modified moment estimation methods. To evaluate the performance of the methods, a simulation study with data contamination scenarios is presented. Finally, the new model’s flexibility is tested using real datasets.

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The hazard rate function of the logistic Birnbaum-Saunders distribution: Behavior, associated inference, and application

Cited by 3 publications

References 18 publications

Comparison performance of the Bayesian Approach with the Weibull and Birnbaum-Saunders distributions in imputation of time-to-event censors

Comparison performance of the Bayesian Approach with the Weibull and Birnbaum-Saunders distributions in imputation of time-to-event censors

Supply Chain Performance Improvement Strategy in the Packaging Industry

On Modeling Cancer and Tuberculosis Data Using the Birnbaum–Saunders Lifetime Model Established on a Logistic Kernel

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