The Scandinavian Journal of Statistics welcomes new editors, Juha Alho and Paavo Salminen
Scandinavian Journal of Statistics
Edited by:
Juha Alho and Paavo Salminen
ISI Journal Citation Reports® Ranking: 2008: 32/92 Statistics & Probability
Impact Factor: 1.268
Recognised as a leading journal in its field, the Scandinavian Journal of Statistics is an international publication devoted to reporting significant and innovative original contributions to statistical methodology, both theory and applications. The journal specialises in statistical modelling showing particular appreciation of the underlying substantive research problems.
TopNews and Announcements
New 2008 Impact Factor for the Scandinavian Journal of Statistics!
We are pleased to announce that the Impact Factor for the Scandinavian Journal of Statistics has increased to 1.268, making the research even more vital for your needs.
ScholarOne Manuscripts™ (formerly known as Manuscript Central)
Authors are able to submit their paper to the Scandinavian Journal of Statistics online using ScholarOne Manuscripts. Benefits of online submission include:
- Fast decisions on your paper. Submission, review and communication are all handled online. No more postal delays or lost messages!
- Easy. Write your paper on any word processor. Simply save text as RTF or Word. Graphics can be uploaded separately in any popular format, including PowerPoint and Excel.
- Convenient. Submit from any computer with an Internet connection. No software needs to be installed. All you need is a Web browser, Acrobat Reader and email.
- Responsive. Decisions sent by email, revisions made online. The moment a decision is taken, an email is dispatched. You can respond to the comments and submit a revised version online.
- Transparent. Track your manuscripts online. Return to the site at any time to see the current status of your submission.
To make a submission, please visit http://mc.manuscriptcentral.com/sjs
Prize Awarded
The Scandinavian Journal of Statistics Prize was recently awarded to Christian B. Pipper and Christian Ritz for their paper Checking the Grouped Data Version of the Cox Model for Interval-grouped Survival Data. Read this winning paper.
Articles Published Online Ahead of Print
Articles which have been fully copy-edited and peer-reviewed are published online through our EarlyView feature before the print edition of this journal is published.
NIH Public Access Mandate
For those interested in the Wiley-Blackwell policy on the NIH Public Access Mandate, please visit our policy statement.
TopHighlights
Special issue: 34:1 March 2007
Statistical Analysis of Complex Event History Data
Edited by Ørnulf Borgan
Featured articles
A Mixed Model Approach for Geoadditive Hazard Regression
Thomas Kneib and Ludwig Fahrmeir
Posterior Analysis for Normalized Random Measures with Independent Increments
Lancelot F. James, Antonio Lijoi and Igor Prünster
Bayesian Goodness of Fit Testing with Mixtures of Triangular Distributions
Ross McVinish, Judith Rousseau and Kerrie Mengersen
Estimating a Convex Function in Nonparametric Regression
Melanie Birke and Holger Dette
Properties of Bayes Factors Based on Test Statistics
Valen E. Johnson
Regression Analysis for Multistate Models Based on a Pseudo-value Approach, with Applications to Bone Marrow Transplantation Studies
Per K. Andersen and John P. Klein
Rank Regression Analysis of Multivariate Failure Time Data Based on Marginal Linear Models
Z. Jin, D. Y. Lin and Z. Ying
Bayesian Geostatistical Design
Peter Diggle and Søren Lophaven
Inference on Survival Data with Covariate Measurement Error - An Imputation-based Approach
Yi Li and Louise Ryan
Non-parametric Estimation of Tail Dependence
Rafael Schmidt and Ulrich Stadtmüller
A Simulation-based Goodness-of-fit Test for Random Effects in Generalized Linear Mixed Models
Rasmus Waagepetersen
Goodness-of-fit Procedures for Copula Models Based on the Probability Integral Transformation
Christian Genest, Jean-François Quessy and Bruno Rémillard
