Results 31 to 40 of about 1,640,518 (270)

RIDGE LEAST ABSOLUTE DEVIATION PERFORMANCE IN ADDRESSING MULTICOLLINEARITY AND DIFFERENT LEVELS OF OUTLIER SIMULTANEOUSLY

open access: yesBarekeng, 2022
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
doaj   +1 more source

A comparative analysis between two statistical deviation–based consensus measures in group decision making problems [PDF]

open access: yes, 2019
The mean absolute deviation and the standard deviation, two statistical measures commonly used in quantifying variability, may become an interesting tool when defining consensus measures.
Chiclana, Francisco   +4 more
core   +3 more sources

Least Absolute Deviation Support Vector Regression [PDF]

open access: yesMathematical Problems in Engineering, 2014
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
openaire   +1 more source

Correlation of electrocardiogram changes with epicardial and myocardial perfusion in ST-elevation myocardial infarction

open access: yesJournal of Indian College of Cardiology, 2023
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
doaj   +1 more source

PREDIKSI JUMLAH PENERIMAAN SISWA SMK SWASTA TAHUN AJARAN 2011/2012 [PDF]

open access: yes, 2012
Penelitian ini bertujuan untuk mengetahui prediksi jumlah siswa Sekolah Menengah Kejuruan (SMK) swasta modern di sebuah propinsi di Kalimanatan dengan pendekatan enam metode forecasting yaitu Linear Regression, Exponential Smoothing With Trend ...
Sarjono, Haryadi
core   +2 more sources

VAR Portfolio Optimal: Perbandingan Antara Metode Markowitz dan Mean Absolute Deviation

open access: yesJurnal Siasat Bisnis, 2009
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
doaj   +4 more sources

Belief Propagation Algorithm for Portfolio Optimization Problems

open access: yes, 2010
The typical behavior of optimal solutions to portfolio optimization problems with absolute deviation and expected shortfall models using replica analysis was pioneeringly estimated by S. Ciliberti and M. M\'ezard [Eur. Phys. B.
Shinzato, Takashi, Yasuda, Muneki
core   +3 more sources

Absolute Deviation-Based Control Charts for Monitoring Mean of Weibull Distribution With Type-I Censoring

open access: yesIEEE Access, 2021
This article presents deviation based exponentially weighted moving average control charts to monitor type-I censored data. Due to practical applications, this study considers Weibull distribution to assess the performance of the proposed memory-type ...
Sajid Ali   +4 more
doaj   +1 more source

Direct Least Absolute Deviation Fitting of Ellipses [PDF]

open access: yesMathematical Problems in Engineering, 2020
Scattered data from edge detection usually involve undesired noise which seriously affects the accuracy of ellipse fitting. In order to alleviate this kind of degradation, a method of direct least absolute deviation ellipse fitting by minimizing the ℓ1 algebraic distance is presented.
Gang Zhou   +3 more
openaire   +1 more source

Least Absolute Deviation Estimate for Functional Coefficient Partially Linear Regression Models

open access: yesJournal of Probability and Statistics, 2012
The functional coefficient partially linear regression model is a useful generalization of the nonparametric model, partial linear model, and varying coefficient model.
Yanqin Feng, Guoxin Zuo, Li Liu
doaj   +1 more source

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