Results 11 to 20 of about 7,941 (183)

Statistical Tolerance Regions for Flexible Modeling Paradigms [PDF]

open access: yes, 2023
Tolerance intervals in a regression setting allow the user to quantify, with a specified degree of confidence, bounds for a specified proportion of the sampled population when conditioned on a set of covariate values.
Guo, Yafan
core   +1 more source

Representing uncertainty by possibility distributions encoding confidence bands, tolerance and prediction intervals [PDF]

open access: yes, 2012
For a given sample set, there are already different methods for building possibility distributions encoding the family of probability distributions that may have generated the sample set.
Serrurier, Mathieu   +5 more
core   +1 more source

Uncertainty and sensitivity analyses applied to the DRAGONv4.05 code lattice calculations and based on JENDL-4 data [PDF]

open access: yes, 2013
In this paper, multi-group microscopic cross-section uncertainties are propagated through the DRAGON (Version 4.05) lattice code in order to perform uncertainty analysis on k(infinity) and 2-group homogenized macroscopic cross-sections.
Demaziere, Christophe,   +6 more
core   +1 more source

Neural systems involved in delay and risk assessment in the rat [PDF]

open access: yes, 2007
This thesis investigated the contribution of the nucleus accumbens core (AcbC) and the hippocampus (H) to choice and learning involving reinforcement that was delayed or unlikely.
Cardinal, Rudolf N
core   +2 more sources

Contribución al estudio de las metodologías de cálculo realista con incertidumbre (BEPU), dentro del análisis determinista de seguridad de plantas nucleares [PDF]

open access: yes, 2016
El análisis determinista de seguridad (DSA) es el procedimiento que sirve para diseñar sistemas, estructuras y componentes relacionados con la seguridad en las plantas nucleares.
Mendizábal Sanz, Rafael
core   +1 more source

Exact Non-Parametric Confidence, Prediction and Tolerance Intervals with Progressive Type-II Censoring [PDF]

open access: yes
This article extends recent results [Scand. J. Statist. 28 (2001) 699] about exact non-parametric inferences based on order statistics with progressive type-II censoring.
Olivier Guilbaud
core   +1 more source

Phase Angle as an Early Functional Biomarker of Cancer‐Related Fatigue in Pediatric Oncology: A Prospective Longitudinal Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior   +11 more
wiley   +1 more source

Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean   +7 more
wiley   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

New nonparametric approaches for multivariate and functional data analysis in outlier detection, construction of tolerance tubes, and clustering [PDF]

open access: yes, 2016
Recent advances of powerful computing and data acquisition technologies have made large complex datasets ever-present, including high-dimensional or functional data.

core  

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