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Open Journal of Statistics (OJS) is an international journal dedicated to the latest advancements in statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of statistics. All…
Md. Shohel Rana, Md. Rasel Hossain, Nilufa Aktar, Kabir Hossain, Bashirul Alam, Asma-Ul-Hosna
The study is concerned with caesarian and normal delivery and its effectiveness on childbirth which has more impact on Bangladesh. We identified that, higher educated and higher income families are choosing caesarian section for childbirth because of improv e…
Onchere Walter, Weke Patrick, Joseph Ottieno, Ogutu Carolyne
Dependence may arise in insurance when the insureds are clustered into groups e.g. joint-life annuities. This dependence may be produced by sharing a common risk acting on mortality of members of the group. Various dependence models have been considered in li…
Gideon Kipngetich, Ananda Kube, Thomas Mageto
Spatial modeling has largely been applied in epidemiology and disease modeling. Different methods such as Generalized linear models (GLMs) have been made available to prediction of the claim frequencies. However, due to heterogeneity nature of policies, the m…
Abdullah Z. Alruhaymi, Charles J. Kim
The absence of some data values in any observed dataset has been a real hindrance to achieving valid results in statistical research. This paper aim ed at the missing data widespread problem faced by analysts and statisticians in academia and professional env…
Courtney E. McCracken, Stephen W. Looney
This article deals with correlating two variables that have values that fall below the known limit of detection (LOD) of the measuring device; these values are known as non-detects (NDs). We use simulation to compare several methods for estimating the associa…
Min Zhang, Zhen Jia
Ba sed on the urban resident population statistics from 2005 to 2018, thi s paper analyzes the distribution and evolution of city scale in China by screening city samples according to the threshold criteria and using empirical research methods such as the Cit…
James E. Marengo, David L. Farnsworth
Our purpose is twofold: to present a prototypical example of the conditioning technique to obtain the best estimator of a parameter and to show that th is technique resides in the structure of an inner product space. Th e technique uses conditioning of an unb…
Maha Al-Eid, Mohamed M. Shoukri
Count data that exhibit over dispersion (variance of counts is larger than its mean) are commonly analyzed using discrete distributions such as negative binomial, Poisson inverse Gaussian and other models. The Poisson is characterized by the equality of mean…
Edwin Moyo, James C. Shakalima, Gilbert Chambashi, James Muchinga, Levy K. Matindih
In this study, a time series modeling approach is used to determine an ARIMA model and advance counterfactual forecasting at a point of policy intervention. We consider monthly data of HIV/AIDS cases from the Ministry of Health (Copperbelt province) of Zambia…
Jingming Jiang, Guangming Deng
To address the drawbacks of the traditional Parker test in multivariate linear models: the process is cumbersome and computationally intensive, we propose a new heteroscedasticity test. A new heteroskedasticity test is proposed using the fitted values of the…
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Open Journal of Statistics (OJS) is an international journal dedicated to the latest advancements in statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of statistics. All… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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