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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…
Victoria Kakooza, Richard Awichi, Ainomugisha Smartson
Starvation in Karamoja remains one of human’s greatest infamies. Not blinking at this fact has resulted in solicitation for more permanent solutions. As part of this, the current study ventured into identifying individual and household factors that add stone…
Muyembi Muinaminayi Pierre, Kayembe Mwimbi David, Nyimi Boshabu Fidèle, Panoumvita Kapamona Junior, Nsudila Mpoyi Monique, Tubanza Mulongo Simplot, Sekele Issouradi-Bourley Jean-Paul, Mantshumba Milolo Augustin, Kalala Kazadi Em, Mabela Rosti, Munyanga Mukongo Sylvain, Dan Wang, 1 1, 1 1
Objective: Our study aims to validate the subjective Bayes mathematical model using the mathematical model of logistic regression. Expert systems are being utilized increasingly in medical fields for the purposes of assisting diagnosis and treatment planning…
H. W. Corley
We present here an alternative definition of the P-value for statistical hypothesis test of a real-valued parameter for a continuous random variable X . Our approach uses neither the notion of Type I error nor the assumption that null hypothesis is true. Inst…
Shalyne Nyambura, Anthony Waititu, Antony Wanjoya, Herbert Imboga
Count data is almost always over-dispersed where the variance exceeds the mean. Several count data models have been proposed by researchers but the problem of over-dispersion still remains unresolved, more so in the context of change point analysis. This stud…
George J. Knafl, Ryan Quinn, Andrew Robinson, Salimah H. Meghani, 1 1
A research study collected intensive longitudinal data from cancer patients on a daily basis as well as non-intensive longitudinal survey data on a monthly basis. Although the daily data need separate analysis, those data can also be utilized to generate pred…
Alek M. Westover, Tara M. Westover, M. Brandon Westover
Interrater reliability (IRR) statistics, like Cohen’s kappa, measure agreement between raters beyond what is expected by chance when classifying items into categories. While Cohen’s kappa has been widely used, it has several limitations, prompting development…
Mohamed M. Shoukri
Background: Bivariate count data are commonly encountered in medicine, biology, engineering, epidemiology and many other applications. The Poisson distribution has been the model of choice to analyze such data. In most cases mutual independence among the vari…
Jixiang Wu, Johnie N. Jenkins, Jack C. McCarty
Spatial variation is often encountered when large scale field trials are conducted which can result in biased estimation or prediction of treatment ( i.e. genotype) values. An effective removal of spatial variation is needed to ensure unbiased estimation or p…
Kabue Timothy Gichuki, John Gikonyo Kiguta
Experimentally, the best design gives estimates of the desired effects and contrasts with maximum precision. Efficiency as a discriminating factor enables comparison of designs. The goal of Response Surface Methodology (RSM) is the determination of the best s…
Won Chul Song, Michael G. Akritas
This article develops a procedure for screening variables, in ultra high-di- mensional settings, based on their predictive significance. This is achieved by ranking the variables according to the variance of their respective marginal regression functions (RV-…
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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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