Results 161 to 170 of about 22,043,161 (356)
A new approach to bootstrap inference in functional coefficient models [PDF]
We introduce a new, factor based bootstrap approach which is robust under heteroskedastic error terms for inference in functional coefficient models. Modeling the functional coefficient parametrically, the bootstrap approximation of an F statistic is ...
Herwartz, Helmut, Xu, Fang
core
Bootstrap Inference for Fixed‐Effect Models
The maximum‐likelihood estimator of nonlinear panel data models with fixed effects is asymptotically biased under rectangular‐array asymptotics. The literature has devoted substantial effort to devising methods that correct for this bias as a means to salvage standard inferential procedures.
Higgins, Ayden, Jochmans, Koen
openaire +7 more sources
How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan+3 more
wiley +1 more source
An Improvement to Interval Estimation for Small Samples
Because it is difficult and complex to determine the probability distribution of small samples,it is improper to use traditional probability theory to process parameter estimation for small samples.
SUN Hui-Ling, HUWei-wen, LIU Hai-tao
doaj +1 more source
Can we trust the bootstrap in high-dimension? [PDF]
We consider the performance of the bootstrap in high-dimensions for the setting of linear regression, where $p
arxiv
Multiplicity distributions in a bootstrap model including multiply diffractive events [PDF]
A. Morel, B. Petersson
openalex +1 more source
This multicenter study investigated 14 152 minimally invasive esophagectomies (MIEs) using data from the Japanese National Clinical Database and showed a significantly lower operative mortality rate in high‐volume centers than in low‐volume centers. However, no differences in morbidity rates were found between facility sizes.
Taro Oshikiri+4 more
wiley +1 more source
Nonlinear Bootstrap for Mesons in a Dual Model [PDF]
Jnanadeva Maharana
openalex +1 more source
Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley +1 more source
Bootstrapping Two-phase Sampling [PDF]
We propose a nonparametric bootstrap procedure for two-phase stratified sampling without replacement. In this design, a weighted likelihood estimator is known to have smaller asymptotic variance than under the convenient assumption of independence often made in practice.
arxiv