Results 51 to 60 of about 91,138 (340)

Correlated systematic uncertainties and errors-on-errors in measurement combinations with an application to the 7–8 TeV ATLAS–CMS top quark mass combination

European Physical Journal C: Particles and Fields
The Gamma Variance Model is a statistical model that incorporates uncertainties in the assignment of systematic errors (informally called errors-on-errors). The model is of particular use in analyses that combine the results of several measurements.
Enzo Canonero, Glen Cowan
doaj   +1 more source

A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data

, 2012
In many semiparametric models that are parameterized by two types of parameters---a Euclidean parameter of interest and an infinite-dimensional nuisance parameter---the two parameters are bundled together, that is, the nuisance parameter is an unknown ...
Ding, Ying, Nan, Bin
core   +1 more source

A note on marginal posterior simulation via higher-order tail area approximations [PDF]

, 2012
We explore the use of higher-order tail area approximations for Bayesian simulation. These approximations give rise to an alternative simulation scheme to MCMC for Bayesian computation of marginal posterior distributions for a scalar parameter of ...
Ruli, Erlis, Sartori, Nicola, Ventura, Laura   +2 more
core   +2 more sources

Sufficient Statistics with Nuisance Parameters

The Annals of Mathematical Statistics, 1956
For some problems involving a parameter of interest and a nuisance parameter, it is possible to define a statistic sufficient for the parameter of interest. The definition has a number of applications in nonparametric theory. Two theorems are derived and used by way of illustration to prove that the sign test is a uniformly most powerful test for the ...
openaire   +3 more sources

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

Carbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood, Yuanyuan Qin, Abdul Sattar, Rabeea Eman, Faheem Abbas, Shan Wu, Yipeng Xu, Xu Zheng, Jiangying Lu, Wei Jiang, Jiankai Liu, Shudi Lu, Shizhong Yue, Zhijie Wang, Kong Liu, Xiaopeng Zheng, Shengchun Qu   +16 more
wiley   +1 more source

Statistical methods for testing carryover effects: A mixed effects model approach

Contemporary Clinical Trials Communications, 2021
Carryover, or the effects of treatment after it ceases, has been largely ignored in statistical literature except as a nuisance parameter. When testing for carryover, comparing cumulative incidence rates is biased when diagnosis is based on a noisy ...
S. Gwynn Sturdevant, Thomas Lumley
doaj   +1 more source

Efficiency and Perceptions in Public CSR: An Integrated Efficiency–Perception Analysis of Spanish Defence Delegations

Corporate Social Responsibility and Environmental Management, EarlyView.
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, Manuel Caravaca‐Garratón   +1 more
wiley   +1 more source

Generalized Inferences about the Mean Vector of Several Multivariate Gaussian Processes

Journal of Probability and Statistics, 2015
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

Maximum Likelihood Inference in Weakly Identified DSGE Models [PDF]

, 2011
This paper examines the problem of weak identification in maximum likelihood, motivated by problems with estimation and inference a multi-dimensional, non-linear DSGE model.
Andrews, Isaiah, Mikusheva, Anna
core   +1 more source

Citizen science deepens the ecological and climatic dimensions of mosquito surveillance

Ecography, EarlyView.
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, John R. B. Palmer, Frederic Bartumeus   +2 more
wiley   +1 more source