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Aug 15, 2018Open    AccessArticle

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

Nickson Cheruiyot, Luke Akong’o Orawo, Ali Salim Islam
This paper discusses the Bayesian approach to estimation and prediction of the reliability of software systems during the testing process. A Non-Homogeneous Poisson Process (NHPP) arising from the Musa-Okumoto (1984) software reliability model is proposed for the software failures. The Musa-Okumoto NHPP reliability model consists of two components—the execution time component and the calendar time component, and is a popular model
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May 17, 2018Open    AccessArticle

Resilient Back-Propagation Algorithm in the Prediction of Mother to Child Transmission of HIV

T. O. James, S. U. Gulumbe, A. Danbaba
Prediction of a child HIV status poses real challenges in medical research. Even though there are different statistical techniques and machine learning algorithms that have been used to predict models like HIV for the clinical data with binary outcome variables, yet neural network techniques are major participants for prediction purposes. HIV is the primary cause of mortality among women of reproductive age globally an
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Apr 24, 2018Open    AccessArticle

Stability of a Non-Linear Exponential Autoregressive Model

Abdulghafoor Jasem Salem, Abeer Abdulkhaleq Ahmad
In this paper, a non-linear exponential autoregressive model has been studied by applying the local linearization technique. The obtained results have been implemented in a time series which represents number of diabetic patients for ten years period.


Apr 20, 2018Open    AccessArticle

A Predictive Model for Graduate Application to Enrollment

Vahid Lotfi, Bradley Maki
This study involved an investigation of factors that affect a graduate applicant in accepting an offer of admission and enrolling in a graduate program of study at a mid-sized public university. A predictive model was developed, using Decision Tree methodology to assess the probability that an admitted student would enroll in the program during the semester following acceptance. The study included actual application information su
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Feb 27, 2018Open    AccessArticle

Working with Color Readings: Application of Regression Models for Determining the Concentration of Substance

Xinyuan Pan, Yan Cui
This study first considered using 5 dimensions/variables of color readings (including blue, green, saturation, red, hue) to predict the concentration of matter. The procedure was demonstrated using internet acquired data in the public domain. A stepwise regression method based on software MATLAB was used to build a model to predict the concentration of the sulfur dioxide. In the course of the study, we also discussed other linear
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Oct 19, 2017Open    AccessArticle

Working with Aggregate Data: An Excel Macro for Pairwise Comparison Using Z Test for Two Proportions

Victor L. Landry
A Visual Basic for Applications (VBA) Excel macro was created for doing a pairwise, two-sample Z-test of within-column proportions fork data rows in an Excel spreadsheet. By program iteration, the Z-score for
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Aug 10, 2017Open    AccessArticle

On the Investigation of Awareness Level of Family Planning among Rural Dwellers in Nigeria (Principal Component Analysis Approach)

Femi Joshua Ayoola, Nureni Olawale Adeboye, Kayode Balogun
This study examined the awareness level and attitude of family planning among rural dwellers in the South western part of Nigeria and its consequences on population/economy of Nigeria. Data were gathered from 300 respondents who were randomly selected from Seriki rural communities of western Nigeria using proportional allocation of the stratified random sampling technique. The research considered to know the level of awareness bet
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Jun 21, 2016Open    AccessArticle

Effect of Sample Size on the Control Limits of Exponentially Weighted Moving Average Distance Square Scheme

Athambawa Mohamed Razmy
In the series of quality monitoring schemes with exponentially weighted moving average, the exponentially weighted moving average distance square scheme was introduced for joint monitoring of process mean and variance. This scheme claims that it has a special feature that the control limits of the scheme are independent of sample size and therefore it gives more freedom to the users. However, this claim was not studied in detail.
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Oct 28, 2015Open    AccessArticle

The Effects of Covariance Structures on Modelling of Longitudinal Data

Yin Chen, Yu Fei, Jianxin Pan
Extending the general linear model to the linear mixed model takes into account the within-subject correlation between observations with introduction of random effects. Fixed covariance structures of random error and random effect are assumed in linear mixed models. However, a potential risk of model selection still exists. That is, if the specified structure is not appropriate to real data, we cannot make correct statistical inferences. Joint modelling method removes all specifications about co...


Oct 12, 2015Open    AccessArticle

Quasi-Monte Carlo Estimation in Generalized Linear Mixed Model with Correlated Random Effects

Yin Chen, Yu Fei, Jianxin Pan
Parameter estimation by maximizing the marginal likelihood function in generalized linear mixed models (GLMMs) is highly challenging because it may involve analytically intractable high-dimensional integrals. In this paper, we propose to use Quasi-Monte Carlo (QMC) approximation through implementing Newton-Raphson algorithm to address the estimation issue in GLMMs. The random effects release to be correlated and joint mean-covariance modelling is considered. We demonstrate the usefulness of the ...


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