Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
An Analysis of the New Reliability Model Based on Bathtub-Shaped Failure Rate Distribution with Application to Failure Data
by
Hassan, Marwa K. H.
, Abushal, Tahani A.
, Anwar, Sadia
, Sindhu, Tabassum Naz
, Lone, Showkat Ahmad
, Shafiq, Anum
in
Estimation
/ Failure
/ Failure analysis
/ Failure rates
/ Food science
/ Growth models
/ intensity function
/ Least squares
/ maximum-likelihood estimation
/ mean time between failures
/ mean value function
/ Partial differential equations
/ Reliability analysis
/ reliability function
/ Software
/ Software quality
/ Software reliability
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
An Analysis of the New Reliability Model Based on Bathtub-Shaped Failure Rate Distribution with Application to Failure Data
by
Hassan, Marwa K. H.
, Abushal, Tahani A.
, Anwar, Sadia
, Sindhu, Tabassum Naz
, Lone, Showkat Ahmad
, Shafiq, Anum
in
Estimation
/ Failure
/ Failure analysis
/ Failure rates
/ Food science
/ Growth models
/ intensity function
/ Least squares
/ maximum-likelihood estimation
/ mean time between failures
/ mean value function
/ Partial differential equations
/ Reliability analysis
/ reliability function
/ Software
/ Software quality
/ Software reliability
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
An Analysis of the New Reliability Model Based on Bathtub-Shaped Failure Rate Distribution with Application to Failure Data
by
Hassan, Marwa K. H.
, Abushal, Tahani A.
, Anwar, Sadia
, Sindhu, Tabassum Naz
, Lone, Showkat Ahmad
, Shafiq, Anum
in
Estimation
/ Failure
/ Failure analysis
/ Failure rates
/ Food science
/ Growth models
/ intensity function
/ Least squares
/ maximum-likelihood estimation
/ mean time between failures
/ mean value function
/ Partial differential equations
/ Reliability analysis
/ reliability function
/ Software
/ Software quality
/ Software reliability
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
An Analysis of the New Reliability Model Based on Bathtub-Shaped Failure Rate Distribution with Application to Failure Data
Journal Article
An Analysis of the New Reliability Model Based on Bathtub-Shaped Failure Rate Distribution with Application to Failure Data
2023
Request Book From Autostore
and Choose the Collection Method
Overview
The reliability of software has a tremendous influence on the reliability of systems. Software dependability models are frequently utilized to statistically analyze the reliability of software. Numerous reliability models are based on the nonhomogeneous Poisson method (NHPP). In this respect, in the current study, a novel NHPP model established on the basis of the new power function distribution is suggested. The mathematical formulas for its reliability measurements were found and are visually illustrated. The parameters of the suggested model are assessed utilizing the weighted nonlinear least-squares, maximum-likelihood, and nonlinear least-squares estimation techniques. The model is subsequently verified using a variety of reliability datasets. Four separate criteria were used to assess and compare the estimating techniques. Additionally, the effectiveness of the novel model is assessed and evaluated with two foundation models both objectively and subjectively. The implementation results reveal that our novel model performed well in the failure data that we examined.
Publisher
MDPI AG
Subject
This website uses cookies to ensure you get the best experience on our website.