Results 51 to 60 of about 863,157 (269)
Transactions of Nanjing University of Aeronautics and AstronauticsConventional adaptive filtering algorithms often exhibit performance degradation when processing multipath interference in raw echoes of spaceborne synthetic aperture radar （SAR） systems due to anomalous outliers， manifesting as insufficient convergence ...
WANG Weixin, CHANG Xuelian, OU Shifeng
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
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Results in Control and OptimizationThis article introduces a novel M/M/1 queueing model that incorporates the concept of reverse balking, where customers are more likely to join the queue as the system size increases.
Asmita Tamuli +6 more
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Optimal Wavelet Estimation of Density Derivatives for Size-Biased Data
Abstract and Applied Analysis, 2014 A perfect achievement has been made for wavelet density estimation by Dohono et al. in 1996, when the samples without any noise are independent and identically distributed (i.i.d.).
Jinru Wang, Zijuan Geng, Fengfeng Jin
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Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
Doubly weighted M-estimation for nonrandom assignment and missing outcomes
Journal of Causal InferenceThis article proposes a class of M-estimators that double weight for the joint problems of nonrandom treatment assignment and missing outcomes. Identification of the main parameter of interest is achieved under unconfoundedness and missing at random ...
Negi Akanksha
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Statistical Theory and Related FieldsThis article presents an in-depth exploration of classical and Bayesian inference methods to estimate the traffic intensity parameter, providing a comprehensive comparison of these two statistical paradigms in a novel multiserver Markovian queueing model
Asmita Tamuli, Dhruba Das
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A Noise Robust Micro-Range Estimation Method for Precession Cone-Shaped Targets
Remote Sensing, 2021 The estimation of micro-Range (m-R) is important for micro-motion feature extraction and imaging, which provides significant supports for the classification of a precession cone-shaped target.
Zhenyu Zhuo +4 more
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, 2022 Catoni proposed a robust M-estimator and gave the deviation inequality for one fixed test function. The present paper is devoted to the uniform concentration inequality for a family of test functions. As an application, we consider empirical risk minimization for heavy-tailed losses.
Li, Pengtao, Wang, Hanchao
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Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform [PDF]
, 2009 In this paper we focus on extended Euclidean registration of a set of noisy images. We provide an appropriate statistical model for this kind of registration problems, and a new criterion based on Fourier-type transforms is proposed to estimate the ...
Bigot, Jérémie +2 more
core +3 more sources