Results 111 to 120 of about 46,298 (299)
A Comparison of Methods for Poisson Regression in the Presence of Background
This paper provides a statistical analysis of three common methods of regression for Poisson data in the presence of Poisson background, namely the joint fit with two parametric models for the source and the background, the use of a nonparametric model ...
Massimiliano Bonamente +3 more
doaj +1 more source
Bandwidth selection for nonparametric kernel testing
We propose a sound approach to bandwidth selection in nonparametric kernel testing. The main idea is to find an Edgeworth expansion of the asymptotic distribution of the test concerned.
Gao, Jiti, Gijbels, Irene
core
A microbiota‐derived metabolite, indole‐3‐pyruvic acid, suppresses macrophage ferroptosis through the AHR–NF‐κB–SLC7A11 axis. This preserves CD8+ T cell function in bladder cancer. Macrophage‐targeted nanoparticles enhance indole‐3‐pyruvic acid delivery and overcome resistance to PD‐1 blockade.
Jianwen Lao +15 more
wiley +1 more source
Crop Insurance Design and On‐Farm Risk Adaptation
ABSTRACT The United States spends billions annually on crop insurance premium subsidies, yet the prevailing distance‐based guarantee design unintentionally rewards risk‐taking by linking subsidies to yield variability. We consider a simple redesign: define guarantees in terms of probability so that coverage reflects a consistent likelihood of indemnity.
Gerald Van Tassell, Alan P. Ker
wiley +1 more source
How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang +4 more
wiley +1 more source
The size and shape of niche spaces or trait spaces are often analysed using hypervolumes estimated from data. The hypervolume R package has previously supported such analyses via descriptive but not inferential statistics. This gap has limited the use of
Daniel Chen +2 more
doaj +1 more source
Estimation and model specification testing in nonparametric and semiparametric econometric models
This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
King, Maxwell, Gao, Jiti
core
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin +1 more
wiley +1 more source
melt: Multiple Empirical Likelihood Tests in R
Empirical likelihood enables a nonparametric, likelihood-driven style of inference without relying on assumptions frequently made in parametric models.
Eunseop Kim +2 more
doaj +1 more source
Testing strict monotonicity in nonparametric regression [PDF]
A new test for strict monotonicity of the regression function is proposed which is based on a composition of an estimate of the inverse of the regression function with a common regression estimate. This composition is equal to the identity if and only if
Dette, Holger, Birke, Melanie
core

