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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…
John Lawrence
The Laplace distribution is one of the oldest defined and studied distributions. In the one - parameter model (location parameter only), the sample median is the maximum likelihood estimator and is asymptotically efficient. Approximations for the variance of…
Ida Mariati Hutabarat, Asep Saefuddin, Anik Djuraidah, I Wayan Mangku
Geographically weighted regression models with the measurement error are a modeling method that combines the global regression models with the measurement error and the weighted regression model. The assumptions used in this model are a normally distributed e…
Jorge A. Achcar, Angela Achcar, Edson Zangiacomi Martinez
In this paper , we study some robustness aspects of linear regression models of the presence of outliers or discordant observations considering the use of stable distributions for the response in place of the usual normality assumption. It is well known that,…
Jiachun Xie, Xingxu Li
Rural labor force transfer training is one of important poverty alleviation measures in China. This paper describes train ing participation situation and evaluates training effects by matching methods in the case of coastal autonomous minor ity nationality ar…
Jing Yao
Along with the planning and implementation of the COMPASS satellite navigation system, first as a regional then a global system, there is a need to probe into the positioning performance of the mixed constellation in the stepwise de ployment scheme. Both the…
Yinsheng Zhang, Jing Yao, Dongyun Yi
We focus on a type of combined signals whose forms remain invariant under the autoregressive operators. To extract the true signal from the autoregressive noise, we develop a strategy to separate parameters and use a two-step least squares approach to estimat…
Wanbin Li, Liugen Xue
In this article, we develop a statistical inference technique for the unknown coefficient functions in the varying coeffi - cient model with random effect. A residual-adjusted block empirical likelihood (RABEL) method is suggested to inves - tigate the model…
Yuejiao Fu, Hangjing Wang, Augustine Wong
Inference for the mean of a normal distribution with known coefficient of variation is of special theoretical interest be- cause the model belongs to the curved exponential family with a scalar parameter of interest and a two-dimensional minimal sufficient st…
Richard B. Francoeur
Multicollinearity constitutes shared variat ion among predictors that inflates standard errors of regression coefficients. Several years ago, it was proven that the common practice of mean centering in moderated regression cannot alleviate multicollinearity a…
Annalina Sarra, Eugenia Nissi
In recent years, the rapid growth of renewable energy sources (photovoltaic, biomass, geothermal, wind and hydroelec tricity) constitutes a feasible solution for environmental problems created by the present production-consumption en ergy model. Photovoltaic…
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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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