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Aug 15, 2018Open AccessArticle
This paper discusses the Bayesian
approach to estimation and prediction of the reliability of software systems
during the testing process. A NonHomogeneous
Poisson Process (NHPP) arising from the MusaOkumoto (1984)
software reliability model is proposed for the software failures. The
MusaOkumoto NHPP reliability model consists of two components—the execution
time component and the calendar time component, and is a popular model ...
May 17, 2018Open AccessArticle
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 ...
Apr 24, 2018Open AccessArticle
In this paper, a nonlinear 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
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 midsized 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 ...
Feb 27, 2018Open AccessArticle
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 ...
Oct 19, 2017Open AccessArticle
A Visual Basic for Applications (VBA) Excel macro
was created for doing a pairwise, twosample Ztest of withincolumn proportions fork data rows in an Excel spreadsheet. By program iteration, the Zscore for ...
Aug 10, 2017Open AccessArticle
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 ...
Jun 21, 2016Open AccessArticle
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. ...
Oct 28, 2015Open AccessArticle
Extending the general linear model to the linear mixed model takes into
account the withinsubject 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
Parameter estimation by maximizing the marginal likelihood function in
generalized linear mixed models (GLMMs) is highly challenging because it may
involve analytically intractable highdimensional integrals. In this paper,
we propose to use QuasiMonte Carlo (QMC) approximation through implementing NewtonRaphson
algorithm to address the estimation issue in GLMMs. The random effects release
to be correlated and joint meancovariance modelling is considered. We demonstrate
the usefulness of the ...
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