Results 101 to 110 of about 22,159 (266)
Using bootstrap method, we have constructed nonparametric prediction intervals for Conditional Value-at-Risk for returns that admit a heteroscedastic location-scale model where the location and scale functions are smooth, and the function of the error ...
Emmanuel Torsen, Lema Logamou Seknewna
doaj +1 more source
The estimation of number of bootstrap replications for the nonparametric bootstrap
Non-parametric bootstrap can be implicated at small size of random sample from unknown distribution when statistical methods are used. The paper deals with the problem, how many non-parametric bootstrap replications have to be done at estimation of bias abd which extent of errors might be caused.
openaire +1 more source
A Nonparametric Bootstrap Test and Estimation for Change
This paper deals with the problem of testing the existence of change in mean and estimating the change-point using nonparametric bootstrap technique. A test statistic using Gombay and Horvath (1990)'s functional form is applied to derive a test statistic and nonparametric change-point estimator with bootstrapping idea.
openaire +2 more sources
ABSTRACT This study examines differences in stakeholders' perceptions of ESG issues in a European corporate group and their implications for double materiality assessment under the Corporate Sustainability Reporting Directive. Drawing on stakeholder theory, it analyses survey responses from 15 stakeholder groups and compares perceived ESG importance ...
Agnieszka Szulc‐Obłoza +4 more
wiley +1 more source
Bootstrap-quantile ridge estimator for linear regression with applications.
Bootstrap is a simple, yet powerful method of estimation based on the concept of random sampling with replacement. The ridge regression using a biasing parameter has become a viable alternative to the ordinary least square regression model for the ...
Irum Sajjad Dar, Sohail Chand
doaj +1 more source
ABSTRACT This study examines the associations between Environmental, Social, and Governance (ESG) practices and organizational performance in 283 European hospitals. Drawing on agency theory, stakeholder theory, and the resource‐based view, it analyses ESG indicators as accounting‐relevant information within the institutional context of European ...
Dorina Nicoara‐Popescu +2 more
wiley +1 more source
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang +3 more
wiley +1 more source
Timing of congruent and discordant interictal epileptiform EEG discharges in focal epilepsy
Abstract Objective Interictal epileptiform discharges (IEDs) can provide additional information for localizing the epileptogenic zone (EZ). However, due to the brevity of routine electroencephalography, IEDs are often not recorded and there is a lack of general recommendation regarding the recording duration Methods In our study, we analyzed the mean ...
Katharina Ernst +4 more
wiley +1 more source
Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-Up on Clustering Results
Clustering algorithms are widely used in the knowledge discovery domain, but concerns and questions about the validity of the results must be considered.
Ammar Elnour, Wencheng Yang, Yan Li
doaj +1 more source
Abstract Objective Self‐limited epilepsy with centrotemporal spikes (SeLECTS), although characterized by well‐controlled seizures, is frequently associated with persistent cognitive deficits in affected children. This study aimed to investigate whether hub dysfunction of the salience network (SN) is associated with cognitive impairment in SeLECTS ...
Chen Yang +9 more
wiley +1 more source

