Results 61 to 70 of about 607,854 (297)

Parametric and nonparametric bootstrap methods for general MANOVA

open access: yesJournal of Multivariate Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Frank Konietschke   +3 more
openaire   +2 more sources

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato   +7 more
wiley   +1 more source

A novel parametric predictive bootstrap method [PDF]

open access: yesCommunications in Statistics - Theory and Methods
Bootstrap methods are widely used statistical techniques known for their simplicity and good properties. This paper introduces a novel bootstrap method called the parametric predictive bootstrap (PP-B), which relies on parametric models and is designed ...
Abdulrahman M. A. Aldawsari   +2 more
openaire   +2 more sources

Appendix A. Parametric bootstrap algorithms.

open access: yes, 2016
Parametric bootstrap ...
David R. Bellwood (141161)   +3 more
core   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Introducing model uncertainty in time series bootstrap [PDF]

open access: yes, 2001
It is common in parametric bootstrap to select the model from the data, and then treat it as it were the true model. Kilian (1998) have shown that ignoring the model uncertainty may seriously undermine the coverage accuracy of bootstrap confidence ...
Peña, Daniel   +2 more
core   +1 more source

Multiple Comparisons for a Psychophysical Test in Bootstrap Logistic Regression

open access: yesJournal of Algorithms & Computational Technology, 2014
We propose an algorithm of multiple comparisons with a control for a psychophysical test. Our algorithm is based on the step-down procedure and is applicable to the bootstrap test in logistic regression.
Norihiro Mita   +4 more
doaj   +1 more source

Parametric Bootstrap for Differentially Private Confidence Intervals

open access: yes, 2020
The goal of this paper is to develop a practical and general-purpose approach to construct confidence intervals for differentially private parametric estimation. We find that the parametric bootstrap is a simple and effective solution. It cleanly reasons about variability of both the data sample and the randomized privacy mechanism and applies "out of ...
Cecilia Ferrando   +2 more
openaire   +3 more sources

Appendix D. Parametric bootstrap distributions.

open access: yes, 2016
Parametric bootstrap ...
Bruce E. Kendall (2910308)   +6 more
core   +1 more source

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy