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Call for papers

We are pleased to announce special issues of Communications in Statistics - Theory and Methods as well as Case Studies, Data Analysis and Applications (Taylor & Francis) devoted to LinStat'2020. They will include selected papers strongly correlated to the talks of the conference, with emphasis on advances on linear models and inference.

All papers submitted to Communications in Statistics must meet the publication standards of Communications in Statistics (see: http://www.math.mcmaster.ca/bala/comstat/) and will be subject to normal refereeing procedure.

More theoretical manuscripts should be sent to the Theory and Methods series while more computationally or data oriented manuscripts to the Case Studies, Data Analysis and Applications series. Please, remember that the purely linear algebraic papers but with no statistical relevance or applications will not be suitable for these two special issues since the journal Communications in Statistics does not publish non-statistical papers.

Coordinator-editor: N. Balakrishnan

Submissions deadline: 31st of October 2020


Communications in Statistics - Theory and Methods

Special Issue Title: ADVANCES ON LINEAR MODELS AND INFERENCE

Guest editors:

Topics to be covered: Inference in Linear Models, Mixed Linear Models and Multivariate Linear Models, Designing of Experiments in Linear Models, Matrix Theory and Linear Models, High-dimensional Analysis and Linear Models, Applications of Linear Models, Linear Models from a Bayesian Point of View, Linear Models as Approximations of Non-Linear Models, Linear Models and Nonparametrics.


Papers should prepared according to the instructions found on the Communications in Statistics web site and should be submitted using: http://mc.manuscriptcentral.com/lsta. The contributors must choose "Special Issue- LinStat2020" as the manuscript type and to enter "LinStat2020" in the box entitled "Is this manuscript a candidate for a special issue" under "Details and comments".


Communications in Statistics - Case Studies, Data Analysis and Applications

Special Issue Title: COMPUTATIONAL ISSUES AND APPLICATIONS OF LINEAR STATISTICS

Guest editors:

Topics to be covered: Advances relating to Computational Aspects of the above mentioned topics: see Theory and Methods, Simulational Assessments, Graphical Methods, Resampling and other Computationally Intensive Methods, Recent Developments in Statistical Software, Data Analysis.


Papers should prepared according to the instructions found on the Communications in Statistics web site and should be submitted using: https://mc.manuscriptcentral.com/ucas. The contributors must choose "Special Issue- LinStat2020" as the manuscript type and to enter "LinStat2020" in the box entitled "Is this manuscript a candidate for a special issue" under "Details and comments".

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