Results 11 to 20 of about 3,905,246 (313)
Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests
IEEE Access, 2022 Monitoring of streamed data to detect abnormal behaviour (variously known as event detection, anomaly detection, change detection, or outlier detection) underlies many applications, especially within the Internet of Things. There, one often collects data
Jakub Marecek +3 more
doaj +1 more source
Suspend tests and rankings [PDF]
Science, 2020 The notion that U.S. colleges and universities will open this fall in “normal” mode should not be in any forecast. As Dr. Anthony Fauci (of the White House's coronavirus task force) testified last week before the Senate, it's unlikely that a vaccine or treatments for coronavirus disease 2019 (COVID-19) will be available by the time students return to ...
openaire +2 more sources
Pacing Strategies Differ by Sex and Rank in 2020 CrossFit® Open Tests
Sports, 2023 This retrospective study collected video recordings of a random selection of eighty men and women (n = 160) completing all five tests of the 2020 CrossFit® Open.
Gerald T. Mangine +5 more
doaj +1 more source
Investigating the impact of GDP and distance variables in the gravity model using sign and rank tests [PDF]
Eastern Journal of European Studies, 2021 The gravity model of trade has been a workhorse of international economics over the last fifty years. The main variables incorporated in the standard gravity model of trade are gross domestic product of trading countries and distance between them.
Berislav ŽMUK, Hrvoje JOŠIĆ
doaj +1 more source
Depth-Based Signed-Rank Tests for Bivariate Central Symmetry
Revstat Statistical Journal, 2020 In this paper, distribution-free, affine invariant, signed-rank test statistics are proposed for the hypothesis that a bivariate distribution is centrally symmetric about an arbitrary specified point.
Sakineh Dehghan +1 more
doaj +1 more source
Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank
Journal of Statistical Software, 2020 Wilcoxon rank-based tests are distribution-free alternatives to the popular two-sample and paired t tests. For independent data, they are available in several R packages such as stats and coin.
Yujing Jiang +4 more
doaj +1 more source
Rank tests and regression rank score tests in measurement error models [PDF]
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jana Jurecková +2 more
openaire +1 more source
Econometric Theory, 2000 This paper considers tests for the rank of a matrix for which a root-T consistent estimator is available. However, in contrast to tests associated with the minimum chi-square and asymptotic least squares principles, the estimator's asymptotic variance matrix is not required to be either full or of known rank.
Robin, Jean-Marc, Smith, Richard
openaire +6 more sources
Pseudo-Gaussian and Rank-Based Tests for First-Order Superdiagonal Bilinear Models in Panel Data
Revstat Statistical Journal, 2021 In this paper, locally asymptotically optimal (in the H´ajek-Le Cam sense) parametric, pseudo-Gaussian and rank-based procedures are proposed for the problem of testing randomness against first-order superdiagonal bilinear panel dependence (in large n ...
Aziz Lmakri +3 more
doaj +1 more source
The Annals of Mathematical Statistics, 1953 Simple nonparametric classes of alternatives are defined for various nonparametric hypotheses. The power of a number of such tests against these alternatives is obtained and illustrated with some numerical results. Optimum rank tests against certain types of alternatives are derived, and optimum properties of Wilcoxon’s one- and two-sample tests and of
openaire +3 more sources