Results 31 to 40 of about 1,180 (135)
Species Distribution Models and Abundance Estimates Enhance Breeding Bird Atlas Data
Our primary goal was to leverage the large amount of systematic and volunteer‐based data produced by the Minnesota Breeding Bird Atlas to develop species distribution models and population estimates for as many breeding bird species as possible. We utilized three complementary techniques to develop species distribution models and maps for 136 breeding ...
Nicholas G. Walton +4 more
wiley +1 more source
Genome‐wide SNP markers reveal patterns of genetic structure and connectivity among Halodule uninervis populations across the Bohol Sea. Migration rates (≥ 0.025 and ≤ 0.040) indicate asymmetric gene flow and heterogeneous connectivity, suggesting a semi‐connected metapopulation shaped by clonal reproduction and regional oceanographic circulation ...
Angela Grace E. Singson +10 more
wiley +1 more source
Bootstrap Methods in Econometrics [PDF]
There are many bootstrap methods that can be used for econometric analysis. In certain circumstances, such as regression models with independent and identically distributed error terms, appropriately chosen bootstrap methods generally work very well ...
James G. MacKinnon
core
ABSTRACT Stature estimation from long bone lengths yields varying accuracies due to differences in linear regression fit. We evaluated the impact of the correlation between stature and humeral, femoral, and tibial lengths on the performance of ordinary least squares (OLS), major axis (MA), and reduced major axis (RMA) fits.
Vladimír Sládek +3 more
wiley +1 more source
Bootstrap Hypothesis Testing [PDF]
This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several different ways of computing bootstrap P values are discussed, including the double bootstrap and the fast double bootstrap.
James G. MacKinnon
core
Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap [PDF]
In regression models, appropriate bootstrap methods for inference robust to heteroskedasticity of unknown form are the wild bootstrap and the pairs bootstrap. The finite sample performance of a heteroskedastic-robust test is investigated with Monte Carlo
Emmanuel Flachaire
core
A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang +5 more
wiley +1 more source
Invalidity of the Bootstrap and the m Out of n Bootstrap for Interval Endpoints Defined by Moment Inequalities [PDF]
This paper analyzes the finite-sample and asymptotic properties of several bootstrap and m out of n bootstrap methods for constructing confidence interval (CI) endpoints in models defined by moment inequalities.
Sukjin Han, Donald W.K. Andrews
core
Habitat and morphology of Craspedosorus sinensis. ABSTRACT Yunnan Province is the richest region in China for lycophytes and ferns. Its unique geological history and climatic conditions have nurtured numerous endemic and rare plant species. Craspedosorus, a monotypic genus of Thelypteridaceae containing only Craspedosorus sinensis, is a genus endemic ...
Jing Zhao +8 more
wiley +1 more source
Estimation with Inequality Constraints on Parameters and Truncation of the Sampling Distribution. [PDF]
Theoretical constraints on economic model parameters often are in the form of inequality restrictions. For example, many theoretical results are in the form of monotonicity or nonnegativity restrictions.
Ousmane Seck, William Barnett
core

