Results 21 to 30 of about 499,871 (239)
A Maximum Likelihood Approach to Least Absolute Deviation Regression
Least absolute deviation (LAD) regression is an important tool used in numerous applications throughout science and engineering, mainly due to the intrinsic robust characteristics of LAD.
Yinbo Li, Gonzalo R. Arce
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Geometry of deviation measures for triangular distributions
Triangular distributions are widely used in many applications with limited sample data, business simulations, and project management. As with other distributions, a standard way to measure deviations is to compute the standard deviation.
Yuhe Wang, Eugene Pinsky
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Penelitian ini membahas tentang pembentukan portofolio optimal menggunakan model Mean Absolute Deviation (MAD) dan model Conditional Mean Variance (CMV).
Eka Nur Vanti, Epha Diana Supandi
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If there is multicollinearity and outliers in the data, the inference about parameter estimation in the LS method will deviate due to the inefficiency of this method in estimating.
Netti Herawati +2 more
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Retention Time and Ion Abundance Ratio of 8 Common Drugs (Poisons) by LC-MS/MS Qualitative Analysis#br# [PDF]
Objective To investigate the maximum allowable deviations of retention time and ion abundance ratio of the 8 common drugs (poisons) from 3 categories, poisons (methamphetamine, morphine, ketamine), benzodiazepines (estazolam, midazolam, diazepam ...
MIN Tao, LIU Shao-dan, XIN Guo-bin, et al.
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Median Absolute Deviation for BGP Anomaly Detection
The stability and reliability of the global Internet infrastructure heavily rely on the Border Gateway Protocol (BGP), a crucial protocol that facilitates the exchange of routing information among various Autonomous Systems, ensuring seamless ...
Maria Andrea Romo-Chavero +3 more
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Detecting Outliers in the Simple Linear Regression for Children Affected with Leukemia in Mosul City
In this study, the problem of outlier detection in “linear regression” analysis is studied using the “median” and “mean” “absolute deviation” about the median.
Shaymaa Riyadh Thanoon +1 more
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Least Absolute Deviation Support Vector Regression [PDF]
Least squares support vector machine (LS‐SVM) is a powerful tool for pattern classification and regression estimation. However, LS‐SVM is sensitive to large noises and outliers since it employs the squared loss function. To solve the problem, in this paper, we propose an absolute deviation loss function to reduce the effects of outliers and derive a ...
Wang, Kuaini +3 more
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Background: The present study was aimed to find the correlation of electrocardiographic changes with epicardial thrombolysis in myocardial infarction (TIMI) flow grade and TIMI myocardial perfusion grade (TMPG) after reperfusion in ST-elevation ...
Mahesh Kharade +4 more
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VAR Portfolio Optimal: Perbandingan Antara Metode Markowitz dan Mean Absolute Deviation
Portfolio selection method which have been introduced by Harry Markowitz (1952) used variance or deviation standard as a measure of risk. Kanno and Yamazaki (1991) introduced another method and used mean absolute deviation as a measure of risk instead of
R. Agus Sartono, Arie Andika Setiawan
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