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 2021
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 be prepared according to the instructions found on the Communications in Statistics
web site and should be submitted using this portal.
The contributors must choose submitting paper for a specific special issue under "Manuscript Details" and to enter "LinStat2020" in the box entitled "Special Issue name".
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 this portal.
The authors should select "Original Paper" as their article type in Step 1 of the submission process and then during Step 5 they will be asked if their paper is a candidate
for a special issue. If they say "yes" they are asked to select the title of the special issue "LinStat2021" from a drop-down list.
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