Results 81 to 90 of about 8,348,933 (325)

Moderate deviations of maximum likelihood estimators under alternatives [PDF]

open access: yes, 2000
Since statistical models are simplifications of reality, it is important in estimation theory to study the behavior of estimators also under distributions (slightly) different from the proposed model.
Inglot, T., Kallenberg, W.C.M.
core   +1 more source

A Novel Multilevel Conceptual Framework for Flood Risk Governance

open access: yesEnvironmental Policy and Governance, EarlyView.
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

Application of field inspections and odour observation diaries in the assessment of air quality and odour in urban areas

open access: yesE3S Web of Conferences, 2018
The choice of an odour nuisance assessment method depends on many factors, such as: the type and quantity of objects, the diversity and type of odour sources, the location of the object, the social situation and the number of complaints about odor ...
Sówka Izabela   +5 more
doaj   +1 more source

THE EFFICIENCY OF EMPIRICAL LIKELIHOOD WITH NUISANCE PARAMETERS [PDF]

open access: yesJournal of Mathematics and Statistics, 2014
In this study we check the asymptotic efficiency of empirical likelihood in the presence of nuisance parameters combined with augmented moment conditions. We show that in the presence of nuisance parameters, the asymptotic efficiency of the empirical likelihood estimator of the parameter of interest will increase by adding more moment conditions, in ...
openaire   +2 more sources

Estimation in the presence of many nuisance parameters: composite likelihood and plug-in likelihood

open access: yes, 2013
We consider the incidental parameters problem in this paper, i.e. the estimation for a small number of parameters of interest in the presence of a large number of nuisance parameters.
Billy Wu, Q. Yao, Shiwu Zhu
semanticscholar   +1 more source

Characterizing early behavioral and social–emotional problems in young children with SCN1A+ Dravet syndrome: Findings from the ENVISION prospective natural history study

open access: yesEpilepsia, EarlyView.
Abstract Objective Dravet syndrome (DS) is the prototypic developmental and epileptic encephalopathy, characterized by drug‐resistant seizures, developmental slowing, and many other morbidities. Detailed characterization of behavioral phenotypes and social–emotional skill development are limited.
Ingrid E. Scheffer   +26 more
wiley   +1 more source

Beyond scale variations: perturbative theory uncertainties from nuisance parameters

open access: yesJournal of High Energy Physics
We develop a new approach to estimate the uncertainty due to missing higher orders in perturbative predictions (the perturbative “theory uncertainty”), which overcomes many inherent limitations of the currently prevalent methods based on varying ...
Frank J. Tackmann
doaj   +1 more source

Robust Motion Regression of Resting-State Data Using a Convolutional Neural Network Model

open access: yesFrontiers in Neuroscience, 2019
Resting-state functional magnetic resonance imaging (rs-fMRI) based on the blood-oxygen-level-dependent (BOLD) signal has been widely used in healthy individuals and patients to investigate brain functions when the subjects are in a resting or task ...
Zhengshi Yang   +6 more
doaj   +1 more source

Elucidating the foundations of statistical inference with 2 x 2 tables. [PDF]

open access: yesPLoS ONE, 2015
To many, the foundations of statistical inference are cryptic and irrelevant to routine statistical practice. The analysis of 2 x 2 contingency tables, omnipresent in the scientific literature, is a case in point.
Leena Choi   +2 more
doaj   +1 more source

Moderate deviations of minimum contrast estimators under contamination [PDF]

open access: yes, 2001
Since statistical models are simplifications of reality, it is important in estimation theory to study the behavior of estimators also under distributions (slightly) different from the proposed model.
Inglot, T., Kallenberg, W.C.M.
core   +1 more source

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