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Journal of the Royal Statistical Society Series B (Methodological) is a peer-reviewed journal published by Wiley, covering Advanced Statistical Methods and Models, Statistical Methods and Inference, Statistical Methods and Bayesian Inference.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of the Royal Statistical Society Series B (Methodological) 12 (3): 45–58.
Formats any DOI in Journal of the Royal Statistical Society Series B (Methodological) style. No sign-up. |
| Publishes research in | Advanced Statistical Methods and Models Statistical Methods and Inference Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models Neural Networks and Applications |
| ISSN | 0035-9246 |
| h-index | 14 |
| i10-index | 15 |
| Total citations | 3,834 |
| Top institutions publishing here | University of Michigan |
| 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.
Summary The design of complex samples induces correlations between element values. In stratification negative correlation reduces the variance; but that gain is less for subclass means, and even less for their differences and for complex statistics. Clustering induces larger and positive correlations between element values. The resulting increase in variance is measured by the ratio…
SUMMARY In the past 20 years there has been much interest in the physical and biological sciences in non‐linear dynamical systems that appear to have random, unpredictable behaviour. One important parameter of a dynamical system is the dominant Lyapunov exponent (LE). When the behaviour of the system is compared for two similar initial conditions, this…
Summary The Bayes factor, or integrated likelihood ratio, provides a possible Bayesian alternative to the standard F ‐test procedure for comparing two linear models. However, if vague prior information for the model parameters is represented by limiting improper prior forms, it is well known that the resulting Bayes factor involves an arbitrary, unspecified constant, and…
1. I ntroduction and S ummary It is the purpose of this paper to determine how far various statistical models and methods of statistical inference have enabled the aims of geographical research to be met in the problem areas to which they have been applied. In so doing, we hope we can indicate to the…
