Mathematical Methods of Statistics
http://www.springerlink.com/content/120704/
Mathematical Methods of Statistics is an international quarterly journal dedicated to the mathematical foundations of statistical theory. The journal covers all areas of mathematical statistics. It provides a forum for research papers in advanced statistical methodology and for studies where such methodology is effectively used or which stimulate its further development. The journal is proudly named after Harald Cramér’s famous treatise. The following areas in mathematical statistics are well represented in the journal:
* Asymptotic theory of estimation and hypotheses testing
* Sequential analysis
* Optimal stopping times and decisions
* Change point problems
* Regression analysis and ANOVA
* Optimal design of experiment
* Multivariate analysis
* Curve estimation
* Nonparametric and robust inference
* Statistics of random processes and fields
* Image processing
* Sampling schemes
Over fifty years ago Cramér’s work put statistical methods on a firm mathematical basis and stimulated theoretical research on statistics to the degree that complaints are frequently heard about “overmathematization,” and theoretical papers have a hard time finding an outlet for publication. Mathematical Methods of Statistics proudly provides such an outlet.