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Statistical Papers

Statistical Papers

Editors: C. Müller; C. Jentsch; W.G. Müller

ISSN: 0932-5026 (print version)
ISSN: 1613-9798 (electronic version)

Journal no. 362

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Christine Müller (Coordinating Editor)
Fachbereich Statistik
Technische Universität Dortmund
44221 Dortmund, Germany
E-mail: cmueller@statistik.tu-dortmund.de

Carsten Jentsch
Fakultät Statistik
Technische Universität Dortmund
Vogelpothsweg 87
44221 Dortmund, Germany

Werner G. Müller
Institut für Angewandte Statistik
Johannes-Kepler-Universität Linz
Altenberger Str. 69
4040 Linz, a. D., Austria
E-mail: Werner.Mueller@jku.at

Editorial Board

Z. Bai, Changhun, China
A. Bathke, Salzburg, Austria
N. Chen, Singapore, Singapore
C. Czado, Garching, Germany
D. Giles, Victoria, Canada
J. Grammig, Tübingen, Germany
R. Harman, Bratislava,  Slovak Republic
K. Ickstadt, Dortmund, Germany
H. M. R. Khan, Miami, FL, USA
C. Kleiber, Basel, Switzerland
S. Kuhnt, Dortmund, Germany
Y. Liu, Wuhan, China
S. Liu, Canberra, Australia
I. Mizera, Edmonton, Canada
R. L. Paige, Rolla, MI, USA
S. Puntanen, Tampere, Finland
A. Quatember, Linz, Austria
C. R. Rao, University Park, PA, USA
M. M. Ristic, Nis, Serbia
D. von Rosen, Uppsala, Sweden
U. Schneider, Vienna, Austria
P. Sibbertsen, Hannover, Germany
E. Stanghellini, Perugia, Italy
Z.  Xu, Lincoln, NE, USA
A. Yeh, Bowling Green, OH, USA
J. Zhou, Victoria, Canada

Book Reviews

Carsten Jentsch
Fakultät Statistik,
Technische Universität Dortmund
Vogelpothsweg 87
44221 Dortmund, Germany
E-Mail: jentsch@statistik.tu-dortmund.de

Problem Section

Kazuhiko Kakamu
Graduate School of Business Administration
Kobe University
2-1, Rokkodai, Nada,
Kobe 657-8501, Japan
E-mail: kakamu@person.kobe-u.ac.jp

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    Founded by Günter Menges

    The journal Statistical Papers addresses itself to all persons and organizations that have to deal with statistical methods in their own field of work. It attempts to provide a forum for the presentation and critical assessment of statistical methods, in particular for the discussion of their methodological foundations as well as their potential applications. Methods that have broad applications will be preferred. However, special attention is given to those statistical methods which are relevant to the economic and social sciences. In addition to original research papers, readers will find survey articles, short notes, reports on statistical software, problem section, and book reviews.      

    Officially cited as: Stat Papers
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