Results 61 to 70 of about 17,240 (299)
Generalized Inferences about the Mean Vector of Several Multivariate Gaussian Processes
We consider in this paper the problem of comparing the means of several multivariate Gaussian processes. It is assumed that the means depend linearly on an unknown vector parameter θ and that nuisance parameters appear in the covariance matrices.
Pilar Ibarrola, Ricardo Vélez
doaj +1 more source
ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez +1 more
wiley +1 more source
Citizen science deepens the ecological and climatic dimensions of mosquito surveillance
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias +2 more
wiley +1 more source
This article is concerned with the comparison P-value and Bayesian measure for the variance of Normal distribution with mean as nuisance paramete. Firstly, the P-value of null hypothesis is compared with the posterior probability when we used a fixed ...
b falahifard +2 more
doaj
Two Tests for Dependence (of Unknown Form) between Time Series
This paper proposes two new nonparametric tests for independence between time series. Both tests are based on symbolic analysis, specifically on symbolic correlation integral, in order to be robust to potential unknown nonlinearities.
M. Victoria Caballero-Pintado +3 more
doaj +1 more source
A Novel Multilevel Conceptual Framework for Flood Risk Governance
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley +1 more source
Quantum state estimation with nuisance parameters
In parameter estimation, nuisance parameters refer to parameters that are not of interest but nevertheless affect the precision of estimating other parameters of interest.
Hayashi, Masahito +2 more
core +1 more source
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang +8 more
wiley +1 more source
Estimating Equations in the Presence of a Nuisance Parameter
Estimating equations for a real parameter $\theta$ which indexes a family of densities $p(x, \theta)$ were considered in the note by Godambe (Ann. Math. Statist. 31 (1960) 1208-1211). An optimality property of the equation $\partial \log p/\partial \theta = 0$ among unbiased estimating equations was established.
Godambe, V. P., Thompson, M. E.
openaire +2 more sources
Abstract Alginate, a renewable polysaccharide produced by brown seaweeds and selected bacterial species, has gained significant attention due to its tunable gelation behavior, biocompatibility, and wide utility in food, biomedical, and packaging applications.
Mehvish Habib +3 more
wiley +1 more source

