scholarly journals A New Method of Robust Linear Regression Analysis: Some Monte Carlo Experiments

2008 ◽  
Author(s):  
S. K. Mishra
Keyword(s):  
Monte Carlo ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
New Method ◽  
Monte Carlo Experiments ◽  
Robust Linear Regression

scholarly journals Motor unit innervation zone localization based on robust linear regression analysis

2019 ◽  
Vol 106 ◽  
pp. 65-70 ◽  
Author(s):  
Jie Liu ◽  
Sheng Li ◽  
Faezeh Jahanmiri-Nezhad ◽  
William Zev Rymer ◽  
Ping Zhou
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Motor Unit ◽  
Linear Regression Analysis ◽  
Innervation Zone ◽  
Robust Linear Regression

TESTING ALGORITHMS AND PROGRAMS OF MULTIVARIATE STATISTICAL PROCEDURES—NECESSARY ASSUMPTION OF BUILDING EXPERT SYSTEMS

1989 ◽  
Vol 03 (01) ◽  
pp. 121-133 ◽  
Author(s):  
ENE-MARGIT TIIT
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Expert Systems ◽  
Linear Regression Analysis ◽  
New Method ◽  
Simple Linear Regression ◽  
Multivariate Statistical ◽  
Statistical Procedures ◽  
Testing Algorithms ◽  
Very High

Sometimes programs, for multivariate statistical procedures are included into expert systems. The requirements of accuracy, exactness and reliability for such programs are very high. In this paper a new method for testing algorithms and programs of multivariate statistical procedures—the so-called “exact samples method” is introduced. The programs of simple linear regression analysis from four most popular standard packages are tested and compared with the help of the new method.

scholarly journals A Matrix Effect Correction Method for Portable X-ray Fluorescence Data

2022 ◽  
Vol 12 (2) ◽  
pp. 568
Author(s):  
Jilong Lu ◽  
Jinke Guo ◽  
Qiaoqiao Wei ◽  
Xiaodan Tang ◽  
Tian Lan ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Matrix Effect ◽  
Extreme Values ◽  
Linear Regression Analysis ◽  
Major Elements ◽  
New Method ◽  
Calibration Data ◽  
X Ray ◽  
The Matrix

Portable X-ray fluorescence spectrometry (pXRF) is an analytical technique that can be used for rapid and non-destructive analysis in the field. However, the testing accuracy and precision for trace elements are significantly affected by the matrix effect, which comes mainly from major elements that constitute most of the matrix of a sample. To solve this problem, many methods based on linear regression models have been proposed, but when extreme values or outliers occur, the application of these methods will be greatly affected. In this study, 16 certified reference materials were collected for pXRF analysis, and the major elements most closely related to the elements to be measured were employed as correction indicators to calibrate the analysis results through the application of multiple linear regression analysis. Some statistical parameters were calculated to evaluate the correction results. Compared with the calibration data obtained from simple linear regression analysis without taking major elements into account, those corrected by the new method were of higher quality, especially for elements of Co, Zn, Mo, Ta, Tl, Pb, Cd and Sn. The results show that the new method can effectively suppress the influence of the matrix effect.

scholarly journals Robust Linear Regression Analysis— A Greedy Approach

2015 ◽  
Vol 63 (15) ◽  
pp. 3872-3887 ◽  
Author(s):  
George Papageorgiou ◽  
Pantelis Bouboulis ◽  
Sergios Theodoridis
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Greedy Approach ◽  
Robust Linear Regression

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Struktur Organisasi, Desain Kerja, Budaya Organisasi Dan Pengaruhnya Terhadap Produktivitas Karyawan Studi Kasus Pada PT. XX Di Jakarta

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Structure ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Job Design ◽  
Employee Productivity ◽  
Dominant Influence

The objectives of this study are to analyze changes in organizational structure, job design, organizational culture and its influence on employee productivity at PT. XX in Jakarta and to identify variables that have a dominant influence on the productivity of employees. The research method used is using multiple linear regression analysis. The results show that the all variables simultaneously and partially change the organizational structure, job design, and organizational culture has a significant impact on employee productivity at PT. XXin Jakarta.

The Contribution of Sexual Identity Towards the Students’ Perception of Lesbian, Gay, Bisexual, and Transgender

10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sexual Identity ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Simple Linear Regression Analysis ◽  
Bisexual And Transgender

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.

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