Results 121 to 130 of about 1,524,562 (340)
The Use of the Robust GREG Estimator to Estimate Small Trade Firms
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 In the face of dynamic changes in the economy, there is a growing demand for multivariate statistics for cross‑classified domains. In economic statistics, this demand poses a particular challenge owing to the unique character of the population of ...
Grażyna Dehnel
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Robust designs for series estimation [PDF]
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the estimates of the coefficients in a truncated series expansion and do not take ...
Dette, Holger, Wiens, Douglas P.
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Robust Estimation of High-Dimensional Mean Regression [PDF]
, 2014 Data subject to heavy-tailed errors are commonly encountered in various scientific fields, especially in the modern era with explosion of massive data.
Fan, Jianqing, Li, Quefeng, Wang, Yuyan
core
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
A Robust Monocular and Binocular Visual Ranging Fusion Method Based on an Adaptive UKF
SensorsVisual ranging technology holds great promise in various fields such as unmanned driving and robot navigation. However, complex dynamic environments pose significant challenges to its accuracy and robustness. Existing monocular visual ranging methods are
Jiake Wang +3 more
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Belief Function Robustness in Estimation [PDF]
, 2012 We consider the case in which the available knowledge does not allow to specify a precise probabilistic model for the prior and/or likelihood in statistical estimation. We assume that this imprecision can be represented by belief functions. Thus, we exploit the mathematical structure of belief functions and their equivalent representation in terms of ...
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Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Remote SensingDisplacement back-analysis is a crucial approach to enhance the effectiveness of landslide monitoring data. To improve the computational efficiency and reliability of large-scale three-dimensional landslide displacement inversion, this study develops a ...
Yue Dai +5 more
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Robust Estimators are Hard to Compute [PDF]
In modern statistics, the robust estimation of parameters of a regression hyperplane is a central problem. Robustness means that the estimation is not or only slightly affected by outliers in the data. In this paper, it is shown that the following robust
Bernholt, Thorsten
core
Robust Estimation of Polychoric Correlation
PsychometrikaAbstract Polychoric correlation is often an important building block in the analysis of rating data, particularly for structural equation models. However, the commonly employed maximum likelihood (ML) estimator is highly susceptible to misspecification of the polychoric correlation model, for instance, through violations of latent ...
Welz, Max +2 more
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