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  Mathematical Methods of Statistics
   
  Editor-in-Chief: Dr. Dmitry M. Chibisov
  Steklov Institute of Mathematics
  Russian Academy of Sciences
   
  ISSN 1066-5307
  Vol. 16, 2007
  Published quarterly
   
  This journal is available online by subscription at
  http://springeronline.com/journal/12004
  ISSN (online): 1934-8045
  Distributed by Springer (see ordering information here)
   
  MMS is an international journal dedicated to the mathematical foundations of the statistical theory. 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 MMS:
   
   
  • 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.
       
      Contact the Publisher for further information.
       
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