Results 141 to 150 of about 279 (178)
Crassulacean acid metabolism as a continuous trait: variability in the contribution of Crassulacean acid metabolism (CAM) in populations of Portulacaria afra. [PDF]
Guralnick LJ, Gladsky K.
europepmc +1 more source
The Potential for Tax Reforms in Post‐War Ukraine
ABSTRACT We analyze the major challenges for the Ukrainian tax system for the post‐war recovery of Ukraine. We identify the main areas of concern related to low compliance and high tax evasion and avoidance. Drawing on the recent economic literature and other countries' experiences, we propose realistic reforms to increase tax compliance and support ...
Anna Abate Bessomo +2 more
wiley +1 more source
Design and testing for clinical trials faced with misclassified causes of death. [PDF]
Van Rompaye B, Goetghebeur E, Jaffar S.
europepmc +1 more source
Sphingosine kinase 2-deficiency mediated changes in spinal pain processing. [PDF]
Canlas J +10 more
europepmc +1 more source
Quantile Regression for Competing Risks Data with Missing Cause of Failure. [PDF]
Sun Y, Wang HJ, Gilbert PB.
europepmc +1 more source
Herbarium specimens reveal drivers of Arctic shrub growth
New Phytologist, Volume 251, Issue 2, Page 602-609, July 2026.
Natalie Iwanycki Ahlstrand +3 more
wiley +1 more source
Pitman Efficiencies of Sequential Tests and Uniform Limit Theorems in Nonparametric Statistics
In this paper Pitman's method of constructing and comparing tests based on statistics which are asymptotically normal under the null hypothesis and the local alternatives is extended to sequential tests of statistical hypotheses. The asymptotic normality assumption in Pitman's theory is replaced in its sequential analogue by the weak convergence of ...
Tze Leung Lai
exaly +4 more sources
Pitman Efficiencies of Kolmogorov-Smirnov Tests
A comparison, by means of Pitman asymptotic efficiency, is made between the Kolmogorov-Smirnov test and the locally most powerful rank and the locally asymptotically most powerful (Neyman) test for testing two-sided shifts in the two-sample problem under the assumption that the true distribution is different from the one assumed.
exaly +3 more sources

