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Communication in Statistics- Theory and Methods Template

Write in a clean editor, then format for Communication in Statistics- Theory and Methods in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Communication in Statistics- Theory and Methods format

Communication in Statistics- Theory and Methods is a peer-reviewed journal published by Taylor & Francis, covering Advanced Statistical Methods and Models, Statistical Distribution Estimation and Applications, Statistical Methods and Inference.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Communication in Statistics- Theory and Methods 12 (3): 45–58.

Formats any DOI in Communication in Statistics- Theory and Methods style. No sign-up.

Publishes research inAdvanced Statistical Methods and Models Statistical Distribution Estimation and Applications Statistical Methods and Inference Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models
ISSN0361-0926
Citation impact (2-yr)0.69
h-index123
i10-index3,693
Total citations158,507
Top institutions publishing hereMcMaster University
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Communication in Statistics- Theory and Methods per year

430
2014
440
2015
1K
2016
436
2017
408
2018
555
2019
529
2020
492
2021
374
2022
288
2023
280
2024
358
2025

Citation impact of Communication in Statistics- Theory and Methods by publication year

3.5K
2014
3.1K
2015
8.1K
2016
3.2K
2017
2.6K
2018
3.6K
2019
3K
2020
2K
2021
1.3K
2022
797
2023
347
2024
166
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Communication in Statistics- Theory and Methods

A spatial scan statistic

Martin Kulldorff · 1 Jan 1997

The scan statistic is commonly used to test if a one dimensional point process is purely random, or if any clusters can be detected. Here it is simultaneously extended in three directions:(i) a spatial scan statistic for the detection of clusters in a multi-dimensional point process is proposed, (ii) the area of the scanning window…

4,033 citations Cite SaveGo to paper →
Further analysis of the data by Akaike's information criterion and the finite corrections

Nariaki Sugiura · 1 Jan 1978

Using Akaike's information criterion, three examples of statistical data are reanalyzed and show reasonably definite conclusions. One is concerned with the multiple comparison problem for the means in normal populations. The second is concerned with the grouping of the categories in a contingency table. The third is concerned with the multiple comparison problem for the…

2,167 citations Cite SaveGo to paper →
Robust regression using iteratively reweighted least-squares

Paul W. Holland, Roy E. Welsch · 1 Jan 1977

The rapid development of the theory of robust estimation (Huber, 1973) has created a need for computational procedures to produce robust estimates. We will review a number of different computational approaches for robust linear regression but focus on one—iteratively reweighted least-squares (IRLS). The weight functions that we discuss are a part of a semi-portable subroutine…

2,118 citations Cite SaveGo to paper →
Goodness of fit tests for the multiple logistic regression model

David W. Hosmer, Stanley Lemesbow · 1 Jan 1980

Several test statistics are proposed for the purpose of assessing the goodness of fit of the multiple logistic regression model. The test statistics are obtained by applying a chi-square test for a contingency table in which the expected frequencies are determined using two different grouping strategies and two different sets of distributional assumptions. The null…

1,855 citations Cite SaveGo to paper →
BETA-NORMAL DISTRIBUTION AND ITS APPLICATIONS

Nicholas Eugene, Carl Lee, Felix Famoye · 14 May 2002

ABSTRACT This paper introduces a general class of distributions generated from the logit of the beta random variable. A special case of this family is the beta-normal distribution. The shape properties of the beta-normal distribution are discussed. Estimation of parameters of the beta-normal distribution by the maximum likelihood method is also discussed. The beta-normal distribution…

1,345 citations Cite SaveGo to paper →

Communication in Statistics- Theory and Methods template — frequently asked questions

How do I write a paper in the Communication in Statistics- Theory and Methods format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Communication in Statistics- Theory and Methods template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Communication in Statistics- Theory and Methods use?
Communication in Statistics- Theory and Methods uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Communication in Statistics- Theory and Methods 12 (3): 45–58.
Do I need to know LaTeX to submit to Communication in Statistics- Theory and Methods?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Communication in Statistics- Theory and Methods document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Communication in Statistics- Theory and Methods template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Communication in Statistics- Theory and Methods format with correct headings, figures, tables, and author–year citations.
Who publishes Communication in Statistics- Theory and Methods?
Communication in Statistics- Theory and Methods is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Communication in Statistics- Theory and Methods template matches Taylor & Francis's official submission format.
Can I export a submission-ready Communication in Statistics- Theory and Methods PDF?
Yes — DocuGuru produces a PDF built with the official Communication in Statistics- Theory and Methods template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Communication in Statistics- Theory and Methods template cost?
You can start writing in the Communication in Statistics- Theory and Methods template for free. Exporting the final submission-ready Communication in Statistics- Theory and Methods PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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