Results 101 to 110 of about 91,138 (340)
Handling uncertainties in background shapes: the discrete profiling method
A common problem in data analysis is that the functional form, as well as the parameter values, of the underlying model which should describe a dataset is not known a priori.
Dauncey, P. D. +3 more
core +1 more source
Individual wild pig bait site visitation and time to initial detection is primarily influenced by space use (i.e., proximity to bait) and whether wild pigs from other social groups visited before. Specifically, females are less likely to visit a bait site if an adult male visits a site before them.
Sydney M. Brewer +2 more
wiley +1 more source
The negative binomial distribution becomes highly skewed under extreme dispersion. Even at moderately large sample sizes, the sample mean exhibits a heavy right tail.
David Shilane, Derek Bean
doaj +1 more source
Constructing Optimal Tests on a Lagged Dependent Variable [PDF]
Via the leading unit root case, the problem of testing on a lagged dependent variable is characterized by a nuisance parameter which is present only under the alternative (see Andrews and Ploberger (1994)).
Patrick Marsh
core
Abstract Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins.
Natalie C. Hall +7 more
wiley +1 more source
Temporal Dynamics of Parkinson's Disease Tremor: Clinical and Neuroimaging Insights
Abstract Background Parkinson's disease (PD) is a progressive neurodegenerative disorder clinically defined by three cardinal motor symptoms: bradykinesia, rigidity, and tremor. Although the natural history of bradykinesia and rigidity is well described, the evolution of tremor as the disease progresses remains controversial. Objectives The goal was to
Melanie Suette +15 more
wiley +1 more source
R Package multiPIM: A Causal Inference Approach to Variable Importance Analysis
We describe the R package multiPIM, including statistical background, functionality and user options. The package is for variable importance analysis, and is meant primarily for analyzing data from exploratory epidemiological studies, though it could ...
Stephan J Ritter +2 more
doaj +1 more source
Likelihood inference in the presence of nuisance parameters [PDF]
Nancy Reid, D. A. S. Fraser
openalex +1 more source
Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation [PDF]
Willem van den Boom +2 more
openalex +1 more source
Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters [PDF]
Shuowen Chen, Hiroaki Kaido
openalex +1 more source

