Results 31 to 40 of about 58,542 (312)

Global Polynomial Kernel Hazard Estimation

open access: yesRevista Colombiana de Estadística
This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator.
MUNIR HIABU   +5 more
doaj   +1 more source

An Exact Analysis of Fine Resolution Frequency Estimation Method from Three DFT Samples: Windowed Data Case

open access: yesElektronika ir Elektrotechnika
Frequency estimation for a single complex sinusoid in noise is a fundamental problem in signal processing. A suboptimal but simple frequency estimator, known as Jacobsen estimator, which is based on three discrete Fourier transform (DFT) samples, gives ...
Betofe Mboyo Keyta, Erdogan Dilaveroglu
doaj   +1 more source

A Bootstrap Method for a Multiple-Imputation Variance Estimator in Survey Sampling

open access: yesStats, 2022
Rubin’s variance estimator of the multiple imputation estimator for a domain mean is not asymptotically unbiased. Kim et al. derived the closed-form bias for Rubin’s variance estimator.
Lili Yu, Yichuan Zhao
doaj   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Parametric Estimation in Fractional Stochastic Differential Equation

open access: yesStats
Fractional Stochastic Differential Equations are becoming more popular in the literature as they can model phenomena in financial data that typical Stochastic Differential Equations models cannot.
Paramahansa Pramanik   +2 more
doaj   +1 more source

A light weight regularization for wave function parameter gradients in quantum Monte Carlo

open access: yesAIP Advances, 2020
The parameter derivative of the expectation value of the energy, ∂E/∂p, is a key ingredient in variational Monte Carlo (VMC) wave function optimization methods.
Shivesh Pathak, Lucas K. Wagner
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus   +6 more
wiley   +1 more source

An integrative shrinkage estimator for random-effects meta-analysis of rare binary events

open access: yesContemporary Clinical Trials Communications, 2018
Meta-analysis has been a powerful tool for inferring the treatment effect between two experimental conditions from multiple studies of rare binary events. Recently, under a random-effects (RE) model, Bhaumik et al.
Lie Li, Ou Bai, Xinlei Wang
doaj   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li   +6 more
wiley   +1 more source

Quadripartitioned Neutrosophic Soft Pre - Open And Pre - Closed Sets [PDF]

open access: yesNeutrosophic Sets and Systems
This paper introduces the development of an almost unbiased estimator for estimating the unknown population median of the primary variable. The proposed estimator leverages neutrosophic auxiliary information and employs simple random sampling without ...
S. Ramesh Kumar, Dr. A. Stanis Arul Mary
doaj   +1 more source

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