نتایج جستجو برای: median absolute deviation method
تعداد نتایج: 1877703 فیلتر نتایج به سال:
The paper presents a robust version of a recent anisotropic orthogonal Procrustes algorithm that has been proposed to solve the socalled camera exterior orientation problem in computer vision and photogrammetry. In order to identify outliers, that are common in visual data, we propose an algorithm based on Least Median of Squares to detect a minimal outliers-free sample, and a Forward Search pr...
A convenient method is introduced for myocardial perfusion research by combining multislice short-axis cine cardiovascular magnetic resonance (MSA-CMR) and colored microspheres (CM). In canine control-ischemia-reperfusion (n = 11), Cardiac output (CO) was measured using MSA-CMR (COMSA), Phase Contrast CMR (PC-CMR, COPC) and CM (from reference blood samples, COmicro) in 3 experimental periods pe...
in this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. we first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. then we propose two mean-absolute deviation models by defining risk as abs...
This paper considers an Type I Generalized Half Logistic Distribution. We discussed the scale (σ) and shape (θ) parameters estimation using the median ranks method (Benard‟s approximation). Rama Krishna(2008) 1 studied the Type I Generalized Half Logistic Distribution scale (σ) and shape (θ) parameters estimation using the Least Square Method in two step estimation method. Also we computed Aver...
In this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. We first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. Then we propose two mean-absolute deviation models by defining risk as abs...
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