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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…
Idriss Abdelmajid Idriss Ahmed, Weihu Cheng
Logistic regression is the most important tool for data analysis in various fields. The classical approach for estimating parameters is the maximum likelihood estimation, a disadvantage of this method is high sensitivity to outlying observations. Robust estim…
Manickavasagar Kayanan, Pushpakanthie Wijekoon, 1 1
Least Absolute Shrinkage and Selection Operator (LASSO) is used for variable selection as well as for handling the multicollinearity problem simultaneously in the linear regression model. LASSO produces estimates having high variance if the number of predicto…
Vartan Choulakian, Ghassan Abou-Samra
O ptimization has two faces, minimization of a loss function or maximization of a gain function. We show that the mean absolute deviation about the mean, d , maximizes a gain function based on the power set of the individuals; and nd , where n is the sample s…
Khangelani Zuma, 1 1, Olive Shisana, Dorina Onoya, Thomas Rehle, Leickness Simbayi, Sean Jooste, Nompumelelo Zungu
Background : South Africa implements variations of second generation suveilance surveys to monitor human immunodeficiency virus (HIV) epidemic. Objective : This paper compares HIV estimates from two design variations: take all approach and sub-sampling approa…
Xiaoting Nie
For any statistical analysis, Model selection is necessary and required. In many cases of selection, Bayes factor is one of the important basic elements. For the unilateral hypothesis testing problem, we extend the harmony of frequency and Bayesian evidence t…
Joseph Uchenna Okeke, Evelyn Nkiruka Okeke, Yeshak Victor Dakhin
The study is on the Binary logistic models of home ownership among civil servants in Wukari, Nigeria. The data used is of primary source using questionnaires. The multicollinear data , as well as the reduced data using the Principal component analysis and the…
N. Khatun, M. A. Matin
LINEX means linear exponential loss function which used in the analysis of statistical estimation and prediction problem which rises exponentially on one side of zero and almost linearly on the other side of zero. It is used in both overestimation and underes…
Fei Lu, Liugen Xue, Xiong Cai
When longitudinal data contains outliers, the classical least - squares approach is known to be no t robust. To solve this issue, the exponential squared loss (ESL) function with a tuning parameter has been investigated for longitudinal data. However, to our…
Guenadie Nibbs, Peter Bajorski
In this study, we analyze brain activity data describing functional magnetic resonance imaging (MRI) imaging of 820 subjects with each subject being scanned at 4 different times. This multiple scanning gives us an opportunity to observe the consistency of ima…
Yunshun Wu
This paper mainly talks about the relationship between an optimal design of accelerated degradation tests and the degradation performance. When there is a linear relationship between the parameter of distribution and the critical values, a special pattern of…
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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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