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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…
Anthony Joe Turkson, John Awuah Addor, Douglas Yenwon Kharib
Statistics is a powerful tool for data measurement. Statistical techniques properly planned and executed give meaning to meaningless data. The difficulty some practitioners encounter hinges on the fact that though there are numerous statistical methods availa…
Anthony Joe Turkson, Cynthia Ama Mensah, Esi Ahema Aboagye
This study adopted the quantitative research design to unearth hidden factors which go into graduate employability decisions. Purposive sampling technique was used to select graduates, institutions and industries within Takoradi, Cape Coast, Kumasi and Accra…
Caixia Li, Peixing Li
Transmission disequilibrium test (TDT) is a popular family based genetic association method. Under multiplicative assumption, a conditional logistic regression for matched pair, affected offspring with allele transmitted from parents and pseudo-offspring (con…
Samuel Ugochukwu Enogwe, Gabriel Chuwukwuemeka Ibeh
This article develops a beta-exponentiated Ishita distribution that extends the exponentiated Ishita distribution. Expansions for the cumulative distribution and probability density functions are given. Various properties of the new distribution such as hazar…
Elias K. Karuiru, John Mwaniki Kihoro, Thomas Mageto, Anthony Gichuhi Waititu
Financial Time Series Forecasting is an important tool to support both individual and organizational decisions. Periodic phenomena are very popular in econometrics. Many models have been built aiding capture of these periodic trends as a way of enhancing fore…
George J. Knafl, Salimah H. Meghani
The purpose of this article is to investigate approaches for modeling individual patient count/rate data over time accounting for temporal correlation and non - constant dispersions while requiring reasonable amounts of time to search over alternative models…
M. Kuyo, S. Mwalili, E. Okang’o
Previously, rapid disease detection and prevention was difficult. This is because disease modeling and prediction was dependent on a manually obtained dataset that includes use of survey. With the increased use of social media platforms like Twitter, Facebook…
Bzhilyanskaya Y. Lyudmila, Margaret M. Cigno, Soiliou D. Namoro
This paper provides methods for assessing the precision of cost elasticity estimates when the underlying regression function is assumed to be polynomial. Specifically, the paper adapts two well-known methods for computing confidential intervals for ratios: th…
Eugène-Patrice Ndong Nguéma, Betrand Fesuh Nono, Henri Gwét
Today, Linear Mixed Models (LMMs) are fitted, mostly, by assuming that random effects and errors have Gaussian distributions, therefore using Maximum Likelihood (ML) or REML estimation. However, for many data sets, that double assumption is unlikely to hold,…
Casanova-del-Angel Francisco
This article looks at a didactic experience at the undergraduate level in civil engineering, specifically, teaching a mathematics course through smartphones. The objective was to teach a course of an engineering degree primarily using this technology, in orde…
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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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