Which method is optimal for estimating variance components and their variability in generalizability theory? evidence form a set of unified rules for bootstrap method. [PDF]
Li G.
europepmc +1 more source
Cross-Sectional Dependence Robust Block Bootstrap Panel Unit Root Tests
In this paper we consider the issue of unit root testing in cross-sectionally dependent panels. We consider panels that may be characterized by various forms of cross-sectionaldependence including (but not exclusive to) the popular common factor ...
Smeekes, Stephan +2 more
core
Standard Error Estimation for Subpopulation Non-invariance. [PDF]
Jewsbury PA.
europepmc +1 more source
Viral Quasispecies Inference from Single Observations-Mutagens as Accelerators of Quasispecies Evolution. [PDF]
Gregori J +6 more
europepmc +1 more source
A practice-oriented guide to statistical inference in linear modeling for non-normal or heteroskedastic error distributions. [PDF]
Rajh-Weber H, Huber SE, Arendasy M.
europepmc +1 more source
Rarer Actions: Giving and Taking in Third-Party Punishment Games
In attempting to understand cooperation, economists have used the methods of experimental economics to focus on spheres of human behavior in which humans display altruism, reciprocity, or other social preferences through giving and through punishment ...
Simon Halliday
core +3 more sources
Mapping the Potential Geographic Distribution of the Heartwater Disease Vector Tick <i>Amblyomma hebraeum</i> Under Climate Change. [PDF]
Okely M +4 more
europepmc +1 more source
Rejoinder: Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis
openaire +2 more sources
Enhancement of hidden Markov model analyses for improved inference of archaic introgression in modern humans. [PDF]
Coll Macià M +3 more
europepmc +1 more source
Support for resistance: technical analysis and intraday exchange rates
“Support” and “resistance” levels—points at which an exchange rate trend may be interrupted and reversed—are widely used for short-term exchange rate forecasting.
Carol Osler
core

