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Non-Homogeneous Poisson Models

Analysis of Ozone Behaviour in the City of Puebla Mexico Using Non Homogeneous Poisson Models with Multiple Change Points

Analysis of Ozone Behaviour in the City of Puebla Mexico Using Non Homogeneous Poisson Models with Multiple Change Points

... where non-homogeneous Poisson processes without change-points are used to study the ozone behaviour in Mexico ...the non-homogeneous Poisson ...of non- homogeneous ...

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Comparing the Adequacy of Some Non Homogeneous Poisson Models to Estimate Ozone Exceedances in Mexico City

Comparing the Adequacy of Some Non Homogeneous Poisson Models to Estimate Ozone Exceedances in Mexico City

... some 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 ...

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Software reliability improvement with quality
metric and defect tracking

Software reliability improvement with quality metric and defect tracking

... growth models have been proposed to assess the reliability of ...growth models (SRGM) have been introduced to evaluate software reliability measures like number of remaining faults, software failure rate ...

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IMPERFECT REPAIR MODELS INCORPORATING THE COVARIATES: AN  APPLICATION

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 ...

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Non Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions

Non Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions

... the models with all parameters being free and to be estimated, we found some convergence problems in the MCMC algorithm for simulating samples of the joint posterior ...the models is conducted which relates ...

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Vol 3, No 9 (2015)

Vol 3, No 9 (2015)

... Growth Models (SRGM) are used in order to decide upon the reliable or unreliable of the developed software very ...parameter Non Homogeneous Poisson Process model which is widely used in ...

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Performance Evaluation of Three Node Tandem Communication Network Model with Feedback for First Two nodes Having Non Homogeneous Poisson Arrivals

Performance Evaluation of Three Node Tandem Communication Network Model with Feedback for First Two nodes Having Non Homogeneous Poisson Arrivals

... Tandem queuing systems are the simple queuing networks consisting of finite number of nodes in series. Such systems can be used for modeling real-life networks having a linear topology as well as for validation of ...

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Bayesian Predictive Analyses for Logarithmic Non Homogeneous Poisson Process in Software Reliability

Bayesian Predictive Analyses for Logarithmic Non Homogeneous Poisson Process in Software Reliability

... reliability models that can be used for predictive analyses have been proposed by different authors [6] ...of non-homogeneous Poisson process software models with the intensity function ...

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

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

... Nonhomogeneous Poisson Process, is one of the earliest software reliability models to be ...on non-informative priors to develop explicit solutions to these ...

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Three Node Tandem Communication Network Model with Dynamic Bandwidth Allocation and Non Homogeneous Poisson Arrivals

Three Node Tandem Communication Network Model with Dynamic Bandwidth Allocation and Non Homogeneous Poisson Arrivals

... with non homogeneous Poisson arrivals and Poisson arrivals is also ...earlier models as particular cases for specific values of the ...

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Two new stochastic models of the failure process of a series system

Two new stochastic models of the failure process of a series system

... the homogeneous Poisson process (HPP): Consider a series system consisting of m sockets into each of which there are inserted non-repairable independent components, and whenever a component fails, ...

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Title: Enhancement in Debugging Technique to Find Bugs in System Software

Title: Enhancement in Debugging Technique to Find Bugs in System Software

... 3.2 Little wood models: It is also time between failure models. It is same as Jelinski Moranda model but it assumes that different faults have different sizes, thereby contributing unequally to failures. ...

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PARAMETER ESTIMATION IN NON-HOMOGENEOUS BOOLEAN MODELS: AN APPLICATION TO PLANT DEFENSE RESPONSE

PARAMETER ESTIMATION IN NON-HOMOGENEOUS BOOLEAN MODELS: AN APPLICATION TO PLANT DEFENSE RESPONSE

... In a wide variety of technological and scientific fields there are many practical situations in which researchers need to manage image data in order to obtain conclusions about a phenomenon of interest. Very often, these ...

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A Software Reliability Model with a Weibull Fault Detection Rate Function Subject to Operating Environments

A Software Reliability Model with a Weibull Fault Detection Rate Function Subject to Operating Environments

... existing non-homogeneous Poisson process (NHPP) models and confidence intervals of all models based on two sets of failure data collected from software ...NHPP models to a ...

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Unification of finite failure non-homogeneous Poisson process models through test coverage

Unification of finite failure non-homogeneous Poisson process models through test coverage

... hanced Non-Homogeneous Poisson Process (ENHPP) software reliability model which al- lows the explicit incorporation of test cover- age, which can be ...NHPP models is limited since they pro- ...

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Dynamic multiscale spatiotemporal models for Poisson data

Dynamic multiscale spatiotemporal models for Poisson data

... velopment of methods for the estimation of the multiscale structure is an important future research direction. Note that this includes both estimation of how many resolution levels to include in the model and estimation ...

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Poisson random fields for dynamic feature models

Poisson random fields for dynamic feature models

... of models called Dirichlet processes aim at modeling the evolution of topics in a time-dependent and nonparametric ...these models, however, assume the evolution of topic probabilities to be unimodal ...

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Radial Vibration of Wave Propagation in an Elastic Medium of a non-Homogeneous Orthotropic Material Under Influence of Rotation

Radial Vibration of Wave Propagation in an Elastic Medium of a non-Homogeneous Orthotropic Material Under Influence of Rotation

... anisotropic non -homogeneous cylinders and ...of non-homogeneity on the composite infinite cylinder of isotropic ...a non-homogeneous composite infinite cylinder of orthotropic and ...

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Poisson qmle of count time series models

Poisson qmle of count time series models

... In the present paper we adopt a semi-parametric approach, in which only the conditional mean is specified. Since the works of Wedderburn (1974), White (1982), McCullagh (1983) and Gourieroux et al. (1984), it is known ...

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Soil Moisture Estimating Governing Models- A Review

Soil Moisture Estimating Governing Models- A Review

... macroscopic models calculate soil moisture flow by numerical solution of the Darcy- Richards equation coupled with water extraction by root system ...a non-uniform root ...

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