Brazilian Journal of Probability and Statistics

["Silvia L. de Paula Ferrari" <sferrari@ime.usp.br>]

Caros,

A matéria abaixo, sobre o Brazilian Journal of Probability and Statistics
(BJPS), foi publicada no IMS Bulletin de janeiro/fevereiro de 2009. O conteúdo
completo do Bulletin pode ser obtido em http://bulletin.imstat.org/main. A
matéria sobre o BJPS está na página 4.

Saudações,

Silvia.


Brazilian Journal of Probability and Statistics

Silvia Ferrari is Editor-in-Chief of the Brazilian Journal of Probability
and Statistics. She writes: The Brazilian Journal of Probability and
Statistics (BJPS) is an official publication of the Brazilian Statistical
Association and is supported by the Institute of Mathematical
Statistics. It is published twice a year, in June and December. The
Journal publishes papers in applied probability, applied statistics,
computational statistics, mathematical statistics, probability theory
and stochastic processes.

The web page of the Journal can be accessed at http://www.
imstat.org/bjps. The contents of the most recent issue (volume 22,
number 2, 2008) follow:

J. A. Achcar, E. A. Coelho-Barros and E. Z. Martinez: Statistical
Analysis for longitudinal counting data in the presence of a
covariate considering different ?frailty? models

N. Mathur and H. P. Singh: Estimation of population mean with
prior information using scrambled response technique

J. C. S. de Miranda: Probability density functions of the empirical
wavelet coefficients of a wavelet estimator of multidimensional
Poisson intensities

S. Nadarajah: Posterior distributions for the Laplace mean arising
from ratios

D. R. Brillinger : Modelling game outcomes of the Brazilian 2006
series A championship as ordinal-valued

G. M. Cordeiro, I. Previdelli and R. W. Samohyl: Bias corrected
maximum likelihood estimators in nonlinear overdispersed
models

L. R. Souza: Spectral properties of temporally aggregated long
memory processes

The list of papers accepted for publications is available at http://
www.imstat.org/bjps/future_papers.html.

The editors invite submissions of papers on all areas of statistics
and probability. For details on submitting articles to the BJPS, see
http://www.imstat.org/bjps/mansub.html.