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Multiwavelet density estimation for biased data
Communications in Statistics - Simulation and Computation, 2019In this article, we present our method for multiwavelet estimation for a density function based on random samples from a weighted distribution.
Lihong Cui, Qianhui Zhang, Jianjun Sun
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Visual Biases in Estimating Body Size
2018Western populations have been getting progressively heavier and the prevalence of obesity in the general population has become a major public health problem. A potential contributory factor in the rise of obesity is the inability to accurately detect weight increase using visual cues. This is a problem not only for members of the public whose weight is
Martin Tovee, P. L. Cornelissen
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Accurate localization using biased estimation
2010 Sixth International Conference on Natural Computation, 2010Localization of mobile stations(MS) is of considerable interest in wireless communication. In this paper, three algorithms are developed for accurate mobile location using the time-of-arrival measurements. The first algorithm is an unconstrained least square estimator(LSE) which has implementation simplicity. Our methods referring linear bias estimator(
Xiao Zhang, Qun Wan
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Biased estimation of a variance
Journal of the Italian Statistical Society, 1996Summary: Let \(S^2 (\alpha) = \frac{1}{n + \alpha }\sum _{\text I = 1}^n ( {X_i - \hat \mu })^2\), where \(X _{i}\) are i.i.d. random variables with a finite variance \(\sigma ^{2}\) and \(\hat{\mu}\) is the usual estimate of the mean of \(X _{i}\). We consider the problem of finding optimal \(\alpha \) with respect to the minimization of the expected ...
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On the biased estimation of nonlocal means filter
2008 IEEE International Conference on Multimedia and Expo, 2008The recent nonlocal means filter (NLM) exhibits exciting performance for image or video denoising. However, the estimation of NLM is biased and tends to keep the value of noise. In the process of NLM, the target pixel (the pixel being processed) is involved in patch distance measuring, which, in turn, controls the restoration of the target pixel.
Hao Xu, Jizheng Xu, Feng Wu 0001
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On the efficiency of biased estimates
1949artykuł w: Roczniki Uniwersytetu Marii Curie-Skłodowskiej w Lublinie. Dział A, Matematyka. T. 3 (1949), s. 103-140, streszcz. pol. ; artykuł w: Roczniki Uniwersytetu Marii Curie-Skłodowskiej w Lublinie. Dział A, Matematyka. T. 3 (1949), s. 103-140, streszcz. pol.
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ESTIMATION FROM A LENGTH-BIASED DISTRIBUTION
Statistics & Risk Modeling, 1985Let \(F_ n(t)\) be the non-parametric MLE of a life time distribution F on the basis of a sample of size n from the length biased distribution of F. If \(G(t)=\mu^{-1}\int^{t}_{0}x dF(x)\) and \(G_ n(t)\) denotes the empirical df then \[ F_ n(t)=\int^{t}_{0}y^{-1}dG_ n(y)/\int^{\infty}_{0}y^{-1}dG_ n(y). \] On the assumption that G is continuous on (0,\
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Biased Estimation in Regression
1979Abstract : Summarized in the report are four scholarly papers that have been published during the contract period and four other articles which are in various stages of submission for publication. Several other activities directly connected with this research are briefly discussed. A list of all research articles published since the commencement of the
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