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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…
Emilio Matricciani
Maria Valtorta (1897-1961, Italian mystic)—bedridden since 1934 because paralyzed—wrote in Italian 13,193 pages of 122 school notebooks concerning alleged mystical visions on Jesus’ life, during World War II and few following years. The contents — about 2.64…
José Moral De La Rubia
The objective of this study is to propose the Parametric Seven-Number Summary (PSNS) as a significance test for normality and to verify its accuracy and power in comparison with two well-known tests, such as Royston’s W test and D’Agostino-Belanger-D’Agostino…
Odero Everlyne Akoth
In Kenya today, we are experiencing an increase in the number of boy child dropping out of school thus making the female figure to be ahead as far as development agenda is concerned. There is increase in singlehood due to one’s own choice, separation and divo…
Mst Sharmin Akter Sumy, Md Yasin Ali Parh, Ajit Kumar Majumder, Nayeem Bin Saifuddin
Discrimination and classification rules are based on different types of assumptions. Also, all most statistical methods are based on some necessary assumptions. Parametric methods are the best choice if it follows all the underlying assumptions. When assumpti…
James E. Marengo, David L. Farnsworth
In mathematical statistics courses, students learn that the quadratic function is minimized when x is the mean of the random variable X , and that the graphs of this function for any two distributions of X are simply translates of each other. We focus on the…
Yan Wang, Xingyou Zhang, Hua Lu, Janet B. Croft, Kurt J. Greenlund
Generalized Linear Mixed Model (GLMM) has been widely used in small area estimation for health indicators. Bayesian estimation is usually used to construct statistical intervals, however, its computational intensity is a big challenge for large complex survey…
Chukiat Viwatwongkasem, Sutthisak Srisawad, Pichitpong Soontornpipit, Jutatip Sillabutra, Pratana Satitvipawee, Prasong Kitidamrongsuk, Hathaikan Chootrakool
The paper aims to discuss three interesting issues of statistical inferences for a common risk ratio ( RR ) in sparse meta-analysis data. Firstly, the conventional log-risk ratio estimator encounters a number of problems when the number of events in the exper…
Kazumitsu Nawata, 1 1
Machine learning methods, one type of methods used in artificial intelligence, are now widely used to analyze two-dimensional (2D) images in various fields. In these analyses, estimating the boundary between two regions is basic but important. If the model co…
Hathaikan Chootrakool, Pichet Treewai
Most meta-analysis has concentrated on combining of treatment effect measures based on comparisons of two treatments. Meta-analysis of multi-arm trials is a key component of submission to summarize evidence from all possible studies. In this paper, an exact b…
Mohamed M. Shoukri, Maha M. Aleid
Objectives : Developing inference procedures on the quasi-binomial distribution and the regression model. Methods : Score testing and the method of maximum likelihood for regression parameters estimation. Data : Several examples are included, based on publish…
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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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