homogeneous Poisson
Non Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions
... non-homogeneous Poisson model has been applied to various situations, such as the analysis of software reliability data, air pollution data and medical count ...non-homogeneous Poisson process ...
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Performance Evaluation of Three Node Tandem Communication Network Model with Feedback for First Two nodes Having Non Homogeneous Poisson Arrivals
... non-homogeneous Poisson in nature, when the value of increase from 0 to 2, the utilization, throughput of the first, second, third transmitters increases for fixed values of other ...
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Two Sample Bayesian Predictive Analyses for an Exponential Non Homogeneous Poisson Process in Software Reliability
... In the above steps, λ ( ) t is known as the intensity function and λ is such that λ ( ) t ≤ λ . the last value of I represents the number of events time T , and S ( ) 1 , , S I ( ) are the event times. The above ...
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Three Node Tandem Communication Network Model with Dynamic Bandwidth Allocation and Non Homogeneous Poisson Arrivals
... are homogeneous and independent of ...non homogeneous and the arrival rate is time ...non homogeneous Poisson ...non homogeneous Poisson arrivals and dynamic bandwidth allocation ...
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Transient Analysis of Communication Network Model with Homogeneous Poisson arrivals and Dynamic Bandwidth Allocation
... This paper deals with a two node tandem network model with dynamic bandwidth allocation and feedback for the first transmitter. The dynamic bandwidth allocation is adapted by immediate adjustment of packet service time ...
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Unification of finite failure non-homogeneous Poisson process models through test coverage
... non-homogeneous Poisson process (ENHPP) model and show that previously reported Non- Homogeneous Poisson Process (NHPP) based models, with bounded mean value functions, are special cases of ...
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Comparing the Adequacy of Some Non Homogeneous Poisson Models to Estimate Ozone Exceedances in Mexico City
... non-homogeneous Poisson models to estimate the mean number of times that a given environmental threshold of interest is surpassed by a given ...the Poisson processes describ- ing the models are taken ...
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Bayesian Predictive Analyses for Logarithmic Non Homogeneous Poisson Process in Software Reliability
... Over the past decades many software reliability models that can be used for predictive analyses have been proposed by different authors [6] [7]. The Mu- sa-Okumoto reliability model, also known as logarithmic was ...
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Analysis of Ozone Behaviour in the City of Puebla Mexico Using Non Homogeneous Poisson Models with Multiple Change Points
... The interest here is in analysing the behaviour of the ozone data from the monitoring network of the city of Puebla in terms of estimating the probability of having an ozone environmental threshold exceeded a certain ...
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Four Node Tandem Communication Network Model with Feedback Having Homogeneous Poisson Arrivals and Dynamic Bandwidth Allocation
... Tandem queues are widely used in mathematical modelling of tandem processes describing the operation of Manufacturing systems, supply chains, Computer and telecommunication networks. In many of the communication systems ...
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One Sample Bayesian Predictive Analyses for an Exponential Non Homogeneous Poisson Process in Software Reliability
... As noted by [5], the Goel-Okumoto (1979) model has been applied to a number of software testing environ- ments and its application on assessing and detecting software failures has been investigated by various authors. ...
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A Statistical Analysis of Intensities Estimation on the Modeling of Non Life Insurance Claim Counting Process
... This study presents an estimation approach to non-life insurance claim counts relating to a specified time. The objective of this study is to estimate the parameters in non-life insurance claim counting process, ...
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IMPERFECT REPAIR MODELS INCORPORATING THE COVARIATES: AN APPLICATION
... MAR-APRIL, 2015, VOL. 3/17 www.srjis.com Page 3316 Shah and Muralidharan (2013) have analyzed Indian stock prices using non homogeneous Poisson process models like Power Law process and Log Linear Process. ...
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Burr Type III Software Reliability Assessment Using SPC- An Order Statistics Approach
... Assessment of Software Reliability is a vital aspect to be considered during the software development process. Software reliability is the probability that given software functions work without failure in a specific ...
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A Statistical Process Control to Monitor the Software Quality
... Software is the only man made Omni Present system contributing immensely providing complex and critical services to mankind. It’s increasing popularity and usefulness enforces us to measure the software quality. In this ...
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Title: Enhancement in Debugging Technique to Find Bugs in System Software
... 3.6 The Delayed S and infection S Models: In 1983 Yamada et al. proposed a new model known as The Delayed S and Infection S Models in which the observed growth curve of the cumulative number of detected defects is S- ...
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Measuring Dynamic Correlations of Words in Written Texts with an Autocorrelation Function
... A homogeneous Poisson point process [14] with word-numbering time can be considered as the simplest model of word occurrences in texts, because it has the key property of “complete independence” in which ...
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A Software Reliability Model with a Weibull Fault Detection Rate Function Subject to Operating Environments
... ABSTRACT: The main focus when developing software is to improve the reliability and stability of a software system. When software systems are introduced, these systems are used in field environments that are the same as ...
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Tracking the distribution of bugs across software release versions
... We extend previous work by looking at how information across multiple versions can be used for inference on future versions which we do using a hierarchical Non-Homogeneous Poisson model[r] ...
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A comparison of data-driven and model-based approaches to quantifying railway risk
... non-homogeneous Poisson processes with an exponentially decreasing intensity function to model the changing (decreasing) rate of fatal accidents and has estimated the mean numbers of fatalities given a ...
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