Write in a clean editor, then format for Journal of Applied Statistics in one click — DocuGuru applies the official Taylor & Francis template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Journal of Applied Statistics is a peer-reviewed journal published by Taylor & Francis, covering Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference, Statistical Methods and Inference. Over its lifetime it has published 5,231 papers, which have received 80,729 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Numbered (Vancouver/NLM) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Journal of Applied Statistics. 2023;12(3):45–58.
Formats any DOI in Journal of Applied Statistics style. No sign-up. |
| Publishes research in | Advanced Statistical Methods and Models Statistical Methods and Bayesian Inference Statistical Methods and Inference Statistical Distribution Estimation and Applications Advanced Statistical Process Monitoring |
| ISSN | 0266-4763 |
| Citation impact (2-yr) | 0.88 |
| h-index | 100 |
| i10-index | 1,666 |
| Top institutions publishing here | Universidade de São Paulo |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract. This paper proposes a regression model where the response is beta distributed using a parameterization of the beta law that is indexed by mean and dispersion pa-rameters. The proposed model is useful for situations where the variable of interest is continuous and restricted to the interval (0, 1) and is related to other variables…
This is already the fifth edition of ‘Introduction to Linear Regression Analysis’. With 672 pages, it is a very comprehensive introduction to linear regression analysis, with room for more than jus...
An inherent property of objects in the world is that they only exist as meaningful entities over certain ranges of scale. If one aims to describe the structure of unknown real-world signals, then a multi-scale representation of data is of crucial importance. This paper gives a tutorial review of a special type of multi-scale representation—linear…
The Data Envelopment Analysis method has been extensively used in the literature to provide measures of firms' technical efficiency. These measures allow rankings of firms by their apparent performance. The underlying frontier model is non-parametric since no particular functional form is assumed for the frontier model. Since the observations result from some data-generating process, the…
We make an analogy between images and statistical mechanics systems. Pixel gray levels and the presence and orientation of edges are viewed as states of atoms or molecules in a lattice-like physical system. The assignment of an energy function in the physical system determines its Gibbs distribution. Because of the Gibbs distribution, Markov random field…
