Metrika
Overview
Metrika is a renowned scientific journal that focuses on the field of mathematical statistics and its applications. It publishes cutting-edge research articles, methodological advancements, and theoretical developments, providing a platform for scholars and practitioners to exchange knowledge and explore the latest trends in statistical theory and practice. With its rigorous peer-review process and interdisciplinary approach, Metrika serves as a valuable resource for statisticians, mathematicians, and researchers seeking to enhance their understanding of statistical methods and their real-worl
Details
Details
Abbr.
Metrika
Start
1958
End
Continuing
Frequency
6 no. a year, 1984-
p-ISSN
0026-1335
Country
Austria
Language
English
Metrics
Metrics
h-index / Ranks: 7869
46
SJR / Ranks: 8416
535
CiteScore / Ranks: 11773
1.50
JIF / Ranks: 7209
0.7
Recent Articles
1.
Gochanour B, Chen S, Beebe L, Haziza D
Metrika
. 2024 May;
86(5):517-542.
PMID: 38736753
Evaluating the impact of non-randomized treatment on various health outcomes is difficult in observational studies because of the presence of covariates that may affect both the treatment or exposure received...
2.
Ciuperca G, Maciak M, Pesta M
Metrika
. 2023 Jun;
:1-27.
PMID: 37360276
An online changepoint detection procedure based on conditional expectiles is introduced. The key contribution is threefold: nonlinearity of the underlying model improves the overall flexibility while a parametric form of...
3.
Tarima S, Flournoy N
Metrika
. 2022 May;
85(4):491-513.
PMID: 35602580
We extended the application of uniformly most powerful tests to sequential tests with different stage-specific sample sizes and critical regions. In the one parameter exponential family, likelihood ratio sequential tests...
4.
Beknazaryan A, Adamic P
Metrika
. 2022 Feb;
85(1):67-91.
PMID: 35125519
We factorize probability mass functions of discrete distributions belonging to Panjer's family and to its certain extensions to define a stochastic order on the space of distributions supported on ....
5.
Englert B, Evans M, Jang G, Ng H, Nott D, Seah Y
Metrika
. 2021 Nov;
84(8):1141-1168.
PMID: 34776537
Multinomial models can be difficult to use when constraints are placed on the probabilities. An exact model checking procedure for such models is developed based on a uniform prior on...
6.
Anastasiou A, Fryzlewicz P
Metrika
. 2021 May;
85(2):141-174.
PMID: 34054146
Supplementary Information: The online version supplementary material available at 10.1007/s00184-021-00821-6.
7.
Pena E, Habiger J, Wu W
Metrika
. 2015 Jul;
78(5):563-595.
PMID: 26166847
Two general classes of multiple decision functions, where each member of the first class strongly controls the family-wise error rate (FWER), while each member of the second class strongly controls...
8.
Robins J, Li L, Tchetgen E, van der Vaart A
Metrika
. 2012 Oct;
69(2-3):227-247.
PMID: 23087487
We discuss a new method of estimation of parameters in semiparametric and nonparametric models. The method is based on U-statistics constructed from quadratic influence functions. The latter extend ordinary linear...
9.
Vexler A, Wu C, Yu K
Metrika
. 2010 Mar;
71(2):125-138.
PMID: 20198107
We propose and examine statistical test-strategies that are somewhat between the maximum likelihood ratio and Bayes factor methods that are well addressed in the literature. The paper shows an optimality...