One-Sample Bayesian Predictive Analyses for an Exponential Non-Homogeneous Poisson Process in Software Reliability

Journals Menu

Follow SCIRP

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org

"One-Sample Bayesian Predictive Analyses for an Exponential Non-Homogeneous Poisson Process in Software Reliability"
written by Albert Orwa Akuno, Luke Akong’o Orawo, Ali Salim Islam,
published by Open Journal of Statistics, Vol.4 No.5, 2014

has been cited by the following article(s):

[1]	Bayesian predictive analyses for non-homogeneous poisson process in software reliability with Musa-okumoto intensity function
	2019

[2]	Predictive Analyses of Logarithmic Non–Homogeneous Poisson Process in Software Reliability Using Bayesian Approach with Informative Priors
	2019

[3]	Bayesian Predictive Analyses for Logarithmic Non-Homogeneous Poisson Process in Software Reliability
	2018

[4]	Prediction Model Based Failure Time Data for Software Reliability
	Advanced Hybrid Information Processing, 2017

[5]	Starch-Based Adhesives for Wood/Wood Composite Bonding
	2017

[6]	Regression Approach to Parameter Estimation of an Exponential Software Reliability Model
	2016

[7]	Two-Sample Bayesian Predictive Analyses for an Exponential Non-Homogeneous Poisson Process in Software Reliability
	Open Journal of Statistics, 2014

[8]	Software reliability prediction: A survey


[9]	Predicting the Time between failures of Software Projects Using Novel Machine Intelligence Algorithms

[1]	Software reliability prediction: A survey Quality and Reliability Engineering International, 2023 DOI:10.1002/qre.3220

[2]	Advanced Hybrid Information Processing Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2018 DOI:10.1007/978-3-319-73317-3_32

[3]	Two-Sample Bayesian Predictive Analyses for an Exponential Non-Homogeneous Poisson Process in Software Reliability Open Journal of Statistics, 2014 DOI:10.4236/ojs.2014.49069

Follow SCIRP