Biometrika

From Canonica AI

Overview

Biometrika is a peer-reviewed academic journal that was established in 1901 by the British statistician Francis Galton and Karl Pearson. The journal primarily focuses on theoretical statistics, mathematical statistics, and biostatistics, making it a significant publication in the field of statistics and biometry. It is published by the Oxford University Press on behalf of the Biometrika Trust.

A stack of Biometrika journals on a desk.
A stack of Biometrika journals on a desk.

History

Biometrika was established in 1901 by Francis Galton and Karl Pearson, two prominent figures in the development of modern statistics. The journal was initially intended as a vehicle for the promotion of the study of biological data and quantitative traits, and the development of statistical methodology to analyse such data. Over the years, the focus of the journal has shifted towards more general statistical methodology and theory.

Scope

The scope of Biometrika is broad and encompasses all aspects of statistical theory and methods, with a particular emphasis on the applications of statistics in biological sciences. This includes, but is not limited to, the development of statistical theory, the study of statistical models and methods, and the application of statistical techniques in the field of biostatistics.

Editorial policies

Biometrika operates under a double-blind peer review process, where both the authors and reviewers are anonymous. The journal encourages the submission of papers that present original research in the field of statistics, particularly those that have a strong theoretical component and demonstrate a clear application to real-world problems in biology and medicine.

Impact

Biometrika has a high impact factor, indicating that articles published in the journal are frequently cited in academic research. The journal is considered one of the leading publications in the field of statistics and is highly respected among statisticians and researchers in related fields.

See Also