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Journal articles on the topic 'Gini method'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Mahinpei, Romina. "A Comparative Analysis of the Gini Index." STEM Fellowship Journal 6, no. 1 (2020): 34–52. http://dx.doi.org/10.17975/sfj-2020-010.

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Around the world, the Gini index is used to represent income inequality and is compared between regions. Proposed by Corrado Gini in 1912, the index summarizes the income disparity of an area into a single value that falls between zero and one [1]. There are numerous methods for evaluating the Gini index [2]. Considering its global use, it is essential for these different approaches to provide consistent results for a region. This paper compares the Gini indices obtained using three of the earliest developed methods. These methods include Gini’s original method, the relative mean difference me

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2

Agbokou, Komi, and Yaogan Mensah. "Varying bandwidth parameter method on Kernel Gini index estimation." Annals of the University of Craiova Mathematics and Computer Science Series 50, no. 1 (2023): 29–41. http://dx.doi.org/10.52846/ami.v50i1.1602.

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Most of measures of income inequality are derived from the Lorenz curve and many authors state that the Gini index is the best single measure of inequality. The present paper reviews some of theoretical properties of the Lorenz curve and provides a non-parametric estimate of the Gini index and the almost sure convergence of this estimate. And to confirm the performance of the estimator, a simulation on real data was carried out.

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Aliluiko, Andrii, Valerii Yeromenko, and Natalia Stefurak. "ASSESSMENT OF INEQUALITY OF THE POPULATION OF UKRAINE BY SOURCES OF INCOME." INNOVATIVE ECONOMY, no. 3-4 (2021): 98–105. http://dx.doi.org/10.37332/2309-1533.2021.3-4.14.

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Purpose. The aim of the article is the analysis of inequality of the population of Ukraine by sources of income. Methodology of research. A set of general scientific and specific methods of economic research was used in the course of the research, in particular, methods of theoretical generalizations: analysis, abstract and logical method (at substantiation of modern tendencies of inequality of the population of Ukraine on incomes); economic and statistical methods (in assessing the dynamics of inequality of the population of Ukraine in terms of monetary income); methods of mathematical statis

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Zeffora, Joylin, and Shobarani Shobarani. "Optimizing random forest classifier with Jenesis-index on an imbalanced dataset." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 505–11. https://doi.org/10.11591/ijeecs.v26.i1.pp505-511.

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Random forest is an ensemble algorithm for machine learning. In decision trees, the splitting criteria is built on the prediction of the nodal points and formation of rules by Gini index and Information Gain. Gini index is a measure of inequality. Gini index does not take into consideration the structural changes in the dataset, and inaccurate data can distort the validity of the gini-coefficient. For data with the same feature but different outcomes, the gini-coefficient remained the same. The proposed method for attribute selection measure takes into consideration that there may be structura

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5

Shang, Songpu, and Songhao Shang. "Estimating Gini Coefficient from Grouped Data Based on Shape-Preserving Cubic Hermite Interpolation of Lorenz Curve." Mathematics 9, no. 20 (2021): 2551. http://dx.doi.org/10.3390/math9202551.

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The Lorenz curve and Gini coefficient are widely used to describe inequalities in many fields, but accurate estimation of the Gini coefficient is still difficult for grouped data with fewer groups. We proposed a shape-preserving cubic Hermite interpolation method to approximate the Lorenz curve by maximizing or minimizing the strain energy or curvature variation energy of the interpolation curve, and a method to estimate the Gini coefficient directly from the coefficients of the interpolation curve. This interpolation method can preserve the essential requirements of the Lorenz curve, i.e., no

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6

Mirzaei, Shahryar, Gholam Reza Mohtashami Borzadaran, and Mohammad Amini. "A comparative study of the Gini coefficient estimators based on the linearization and U-statistics Methods." Revista Colombiana de Estadística 40, no. 2 (2017): 205–21. http://dx.doi.org/10.15446/rce.v40n2.53399.

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In this paper, we consider two well-known methods for analysis of the Gini index, which are U-statistics and linearization for some incomedistributions. In addition, we evaluate two different methods for some properties of their proposed estimators. Also, we compare two methods with resampling techniques in approximating some properties of the Gini index. A simulation study shows that the linearization method performs 'well' compared to the Gini estimator based on U-statistics. A brief study on real data supports our findings.

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Loffredo, Filomena, Irene Opoku-Ntim, Doris Kitson-Mills, and Maria Quarto. "Gini Method Application: Indoor Radon Survey in Kpong, Ghana." Atmosphere 13, no. 8 (2022): 1179. http://dx.doi.org/10.3390/atmos13081179.

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In this study, the indoor radon concentrations map, starting from a sparse measurements survey, was realized with the Gini index method. This method was applied on a real dataset coming from indoor radon measurements carried out in Kpong, Ghana. The Gini coefficient variogram is shown to be a good estimator of the inhomogeneity degree of radon concentration because it allows for better constraining of the critical distance below which the radon geological source can be considered as uniform. The indoor radon measurements were performed in 96 dwellings in Kpong, Ghana. The data showed that 84%

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8

Dai, Pingsheng, and Sitong Shen. "Estimation of the Gini coefficient based on two quantiles." PLOS ONE 20, no. 2 (2025): e0318833. https://doi.org/10.1371/journal.pone.0318833.

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Based on the Palma proposition and the Lorenz fitting curve, this paper estimates the sample Gini coefficient using the income share of the top 10% and bottom 40% of the population. Empirical research shows that the absolute error between the estimated value and sample Gini coefficient is within a hundredth. Monte Carlo simulation shows that the new method has good performance and robustness for estimating Gini coefficients with different sample sizes and different inequality levels. Using the two quantiles in the deciles to estimate the sample Gini coefficient and the Lorenz fitting curve is

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9

Tang, Yu Lan, Ya Na Li, Xu Dong, and Ran Yan. "Study on COD Emission Reductions Assignment of Basin Based on Information Entropy Method and Gini Coefficient Method." Advanced Materials Research 1014 (July 2014): 287–90. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.287.

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The Qinghe and Fanhe basin in Tieling, Liaoning were studied as case in this sduty. The COD emission reduction was assigned by the method of information entropy and the Gini coefficient method first. Then the correlation between the calculation methods and the water environmental quality was analyzed. Finally, the best method of reduction calculation was identified. The results showed that the information entropy method was a better method in total allocation because it was highly correlated with water environment quality,at the same time it combined the pollution reduction and water environme

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10

Yitzhaki, Shlomo. "Calculating Jackknife Variance Estimators for Parameters of the Gini Method." Journal of Business & Economic Statistics 9, no. 2 (1991): 235. http://dx.doi.org/10.2307/1391792.

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11

Xu, Kuan. "Inference for Generalized Gini Indices Using the Iterated-Bootstrap Method." Journal of Business & Economic Statistics 18, no. 2 (2000): 223. http://dx.doi.org/10.2307/1392559.

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12

Yitzhaki, Shlomo. "Calculating Jackknife Variance Estimators for Parameters of the Gini Method." Journal of Business & Economic Statistics 9, no. 2 (1991): 235–39. http://dx.doi.org/10.1080/07350015.1991.10509849.

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13

Xu, Kuan. "Inference for Generalized Gini Indices Using the Iterated-Bootstrap Method." Journal of Business & Economic Statistics 18, no. 2 (2000): 223–27. http://dx.doi.org/10.1080/07350015.2000.10524864.

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14

Setiyorini, Tyas, and Rizky Tri Asmono. "PENERAPAN METODE K-NEAREST NEIGHBOR DAN GINI INDEX PADA KLASIFIKASI KINERJA SISWA." Jurnal Techno Nusa Mandiri 16, no. 2 (2019): 121–26. http://dx.doi.org/10.33480/techno.v16i2.747.

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Predicting student academic performance is one of the important applications in data mining in education. However, existing work is not enough to identify which factors will affect student performance. Information on academic values or progress on student learning is not enough to be a factor in predicting student performance and helps students and educators to make improvements in learning and teaching. K-Nearest Neighbor is a simple method for classifying student performance, but K-Nearest Neighbor has problems in terms of high feature dimensions. To solve this problem, we need a method of

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15

Asih Mulyani, Aji Sofyan Effendi, and Muhammad Awaluddin. "Analysis of Factors Influencing the Level of Welfare of the Community of Balikpapan City." International Journal of Economics, Commerce, and Management 1, no. 4 (2024): 164–72. http://dx.doi.org/10.62951/ijecm.v1i4.222.

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The purpose of this study is to determine the influence of factors that affect the level of public welfare in Balikpapan City in the period 2006-2023. The method used in the study is the quantitative data analysis method and the data analysis method using a path diagram with 4 dimensions of measurement, namely, the Level of Public Welfare measured by the Human Development Index (HDI), the Income Inequality Index measured by the Gini Ratio Index, Economic Growth, Population Growth Rate. The results of this study indicate that Economic Growth has a negative but insignificant effect on Income Dis

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16

Zhao, Xiaomeng, and Lin Liu. "Income Gap Equalization Based on PSO Algorithm in Edge Computing Environment." Journal of Environmental and Public Health 2022 (August 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/8316982.

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In order to explore the current income gap, a method based on the PSO algorithm in the edge computing environment is proposed. PSO calculates and simulates bird flock foraging activities, the Frank Heppner biological group model, and the three rules in bird activities. After studying the activities of these natural creatures, abstract problems are quantified and similar models established. The Gini coefficient is calculated by using grouped data, and the grouping basis is also innovative. The quantile grouping method is adopted, which can effectively solve the difference between the concentrat

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17

Ogwang, Tomson. "A Convenient Method of Decomposing the Gini Index by Population Subgroups." Journal of Official Statistics 30, no. 1 (2014): 91–105. http://dx.doi.org/10.2478/jos-2014-0005.

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Abstract We propose a convenient method of estimating the within-group, between-group, and interaction components of the overall traditional Gini index from the estimated parameters of underlying “trick regression models” involving known forms of heteroscedasticity related to income. Two illustrative examples involving both real and artificial data are provided. The issue of appropriate standard error of the subgroup decomposition is also discussed.

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18

Álvarez-Verdejo, Encarnación, Pablo J. Moya-Fernández, and Juan F. Muñoz-Rosas. "Single Imputation Methods and Confidence Intervals for the Gini Index." Mathematics 9, no. 24 (2021): 3252. http://dx.doi.org/10.3390/math9243252.

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The problem of missing data is a common feature in any study, and a single imputation method is often applied to deal with this problem. The first contribution of this paper is to analyse the empirical performance of some traditional single imputation methods when they are applied to the estimation of the Gini index, a popular measure of inequality used in many studies. Various methods for constructing confidence intervals for the Gini index are also empirically evaluated. We consider several empirical measures to analyse the performance of estimators and confidence intervals, allowing us to q

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19

Aydin, Asim Armagan, and Ramazan Oguz Yuceer. "Unraveling the Predictive Value of the Novel Global Immune-Nutrition-Inflammation Index (GINI) on Survival Outcomes in Patients with Grade 4 Adult-Type Diffuse Gliomas." Current Oncology 31, no. 9 (2024): 5027–39. http://dx.doi.org/10.3390/curroncol31090372.

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Background: This investigation evaluated the predictive and prognostic efficacy of the newly developed global immune-nutrition-inflammation index (GINI) in patients with grade 4 adult-type diffuse gliomas, comparing it with other established indices such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV). Method: A retrospective cohort included 198 patients diagnosed with isocitrate dehydrogenase (IDH)-mutant gr4 (grade 4) astrocytoma and IDH-wt (wilde-type) glioblastoma (GBM) gr4 treated with surgical resection

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20

Jiang, Longquan, Bo Zhang, Qin Ni, Xuan Sun, and Pingping Dong. "Prediction of SNP Sequences via Gini Impurity Based Gradient Boosting Method." IEEE Access 7 (2019): 12647–57. http://dx.doi.org/10.1109/access.2019.2893269.

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21

Huang, Weidong. "Numerical method to calculate Gini coefficient from limited data of subgroups." Applied Economics Letters 20, no. 13 (2013): 1249–53. http://dx.doi.org/10.1080/13504851.2013.802083.

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22

Zeffora, Joylin, and Shobarani Shobarani. "Optimizing random forest classifier with Jenesis-index on an imbalanced dataset." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 505. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp505-511.

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Random <span>forest is an ensemble algorithm for machine learning. In decision trees, the splitting criteria is built on the prediction of the nodal points and formation of rules by Gini index and Information Gain. Gini index is a measure of inequality. Gini index does not take into consideration the structural changes in the dataset, and inaccurate data can distort the validity of the gini-coefficient. For data with the same feature but different outcomes, the gini-coefficient remained the same. The proposed method for attribute selection measure takes into consideration that there may

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23

PIERO, MANFREDI, and ANNIBALE MICHELI GIUSEPPE. "Some un-noticed insights in Gini's cyclical theory of populations." Genus 71, no. 2-3 (2015): 7–28. https://doi.org/10.4402/genus-671.

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Is Gini’s cyclical theory only a mess of ideas and data haphazardly borrowed from different disciplines in a naïve search for a “Grand Theory”, or is it an initial attempt to develop a general scheme of population dynamics, in the epoch when Population Mathematics was just taking off? Departing from the severe criticisms levelled at Gini’s approach, we point out that – hidden in Gini’s narrative codes – lie three important legacies, anticipating both the “Cybernetic revolution” and various turning points in the social sciences of the 1

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El-Yasha, S. R., M. Rizky, and T. W. Wibowo. "SPATIAL ANALYSIS OF POVERTY AND HAPPINESS PROFILES IN SPECIAL REGION OF YOGYAKARTA USING SMALL AREA ESTIMATION METHOD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 189–96. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-189-2019.

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Abstract. In March 2017, the Province of Special Region of Yogyakarta (DIY Province) has poverty line of IDR 374,009, percentage of poor people (13.03%) and Gini index (0.432) above the national average (IDR 374,478; 10.64%; 0.393). The result of happiness index in 2017 shows the position of DIY Province (72.93%) is above average of national happiness index (70.69%). Scatterplot between happiness index and percentage of poor people in Indonesia in 2017 shows that DIY Province is on first quadrant. This marks the high level of happiness along with high percentage of poor people. Small area esti

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Binay, Murat, and Ahmet Yalçın Yalçınkaya. "Gini Coefficient Analysis for Pensioners in Turkey." Global Journal of Business, Economics and Management: Current Issues 6, no. 2 (2016): 232–37. http://dx.doi.org/10.18844/gjbem.v6i2.1402.

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One of the main objectives of economic policy is to make the fair distribution of income. To provide fair distribution of income, how the revenue is shared must be based on certain criteria. Products and services are not shared in any society indiscriminately. There is a mechanisms governing the distribution of income in every society. Production factors increase the value created for themselves and how to divide this value is complex phenomenon which has technical, economic, social and political dimensions. There are a lot of criterias about how to divide the created value like change interva

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Mushafi, Mushafi, and Faridy Faridy. "Tinjauan Hukum atas Pembagian Harta Gono Gini Pasangan Suami Istri yang Bercerai." Batulis Civil Law Review 2, no. 1 (2021): 43. http://dx.doi.org/10.47268/ballrev.v2i1.473.

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This article discusses the legal provisions for the distribution of gono gini assets to divorced married couples. The research objective is to reveal the legal aspects and juridical provisions regarding the distribution of gono gini assets for divorced married couples. The research method used in writing this article is normative juridical. Based on the results of the research that the distribution of Gono gini assets in divorce cases and divorce cases, each husband and wife gets an equal half of the share. The gono gini distribution of assets refers to al-Quran Surat an-Nisa ayat 32, where it

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Muttaqin, Aminullah Achmad, and Anis Safitri. "Analisis Pengaruh Zakat dan Infak Terhadap Tingkat Kedalaman Kemiskinan, Keparahan Kemiskinan dan Gini Rasio di Indonesia Tahun 2007-2018." Al-Tijary 6, no. 1 (2020): 51–61. http://dx.doi.org/10.21093/at.v6i1.2416.

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Poverty in Indonesia has decreased in recent years, though slowing. Besides that, zakat and infaq have increased from year to year. Based on this phenomenon, this study aims to determine the effect of zakat and infaq on poverty and income disparities in Indonesia. The method used is a quantitative approach with descriptive and inferential analysis (multiple linear regression analysis). The data used are secondary data with zakat, infaq, poverty gap index, poverty severity index, and gini coefficient (gini ratio). The results of T test and F test shows the value of sig. 0,00 less than 0,05. Ove

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Tong, Shuiguang, Zilong Fu, Zheming Tong, and Feiyun Cong. "Gear fault diagnosis using spectral Gini index and segmented energy spectrum." Measurement Science and Technology 35, no. 11 (2024): 116134. http://dx.doi.org/10.1088/1361-6501/ad6a2d.

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Abstract Fault diagnosis of gears is crucial for maintaining the stable operation of a gearbox within a mechanical system. Traditional envelope demodulation methods depend on the distribution of sidebands around a central frequency. However, due to various interferences such as amplitude modulation, frequency modulation and assembly errors, the sidebands do not always distribute regularly. To circumvent dependence on sidebands distribution, a novel method, based on spectral Gini index (SGI) and segmented energy spectrum, is proposed to extract fault features from the perspective of energy vari

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Lee, In Mu, Hong Joo Jung, and Patricia Born. "Insurance Market Development and Income Inequality." International Review of Financial Consumers 2, No. 1 Apr 2017 (2017): 43–54. http://dx.doi.org/10.36544/irfc.2017.1-4.

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This study aims to empirically analyze the relationship between insurance market development and income inequality for 13 countries from 1980 to 2006. Specifically, we examine how country-level income distributions are related to one particular measure of insurance market development. Our proxies for insurance market development are total life insurance premiums (LP), and total non-life insurance premiums (NLP), which are used as independent variables. The dependent variable is the Gini coefficient (Gini, a common measure of income inequality). Granger causality tests and Generalized Method of

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Chen, Li-Shuang, and Qi Huang. "An exact calculation method for Gini coefficient and its application in China." Journal of Discrete Mathematical Sciences and Cryptography 21, no. 6 (2018): 1235–40. http://dx.doi.org/10.1080/09720529.2018.1525906.

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Ma, Jinshan. "Gini-Simpson index based generalised grey target decision method for mixed attributes." Journal of Intelligent & Fuzzy Systems 37, no. 2 (2019): 2597–608. http://dx.doi.org/10.3233/jifs-182821.

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Karagiannis, Elias, and Milorad Kovacevic'. "A Method to Calculate the Jackknife Variance Estimator For the Gini Coefficient." Oxford Bulletin of Economics and Statistics 62, no. 1 (2000): 119–22. http://dx.doi.org/10.1111/1468-0084.00163.

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Ogwang, Tomson. "A Convenient Method of Computing the Gini Index and its Standard Error." Oxford Bulletin of Economics and Statistics 62, no. 1 (2000): 123–29. http://dx.doi.org/10.1111/1468-0084.00164.

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Herceg, Djordje, and Dragoslav Herceg. "Third-order modifications of Newton’s method based on Stolarsky and Gini means." Journal of Computational and Applied Mathematics 245 (June 2013): 53–61. http://dx.doi.org/10.1016/j.cam.2012.12.008.

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Herceg, Djordje, and Dragoslav Herceg. "Sixth-order modifications of Newton’s method based on Stolarsky and Gini means." Journal of Computational and Applied Mathematics 267 (September 2014): 244–53. http://dx.doi.org/10.1016/j.cam.2014.02.026.

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Lu, Xiaojuan, Jianjun Wang, Choon Wah Yuen, and Shiyu Zheng. "Exclusive Bus Lane Allocation Considering Multimodal Traffic Equity Based on Bi-Level Programming." Applied Sciences 13, no. 4 (2023): 2047. http://dx.doi.org/10.3390/app13042047.

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To ensure the equity of exclusive bus lane (EBL) allocation under multimodal traffic conditions, a bi-level programming model is first constructed. The upper-level model is the minimum total system cost considering the Gini coefficient and the lower-level model constructed a stochastic user equilibrium (SUE) model based on logit loading. Secondly, a heuristic algorithm combining an improved genetic algorithm (GA) and a method of the successive average method (MSA) is designed. Finally, the Nguyen and Dupuis networks are used as examples to verify and analyze the effectiveness, superiority and

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Lu, Rongrong, Miao Xu, Chengjiang Zhou, et al. "A Novel Fault Diagnosis Method Using FCEEMD-Based Multi-Complexity Low-Dimensional Features and Directed Acyclic Graph LSTSVM." Entropy 26, no. 12 (2024): 1031. http://dx.doi.org/10.3390/e26121031.

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Rolling bearings, as critical components of rotating machinery, significantly influence equipment reliability and operational efficiency. Accurate fault diagnosis is therefore crucial for maintaining industrial production safety and continuity. This paper presents a new fault diagnosis method based on FCEEMD multi-complexity low-dimensional features and directed acyclic graph LSTSVM. The Fast Complementary Ensemble Empirical Mode Decomposition (FCEEMD) method is applied to decompose vibration signals, effectively reducing background noise. Nonlinear complexity features are then extracted, incl

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Utomo, Priyo, Anton Budi Satria, Novi Sri Sandyawati, Noor Farid, and Farasandya Amalia Hapsari. "HUMP-SHAPED RELATION IMPLEMENTATION IN EAST JAVA." DIA Jurnal Ilmiah Administrasi Publik 18, no. 1 (2020): 186–98. http://dx.doi.org/10.30996/dia.v18i1.3485.

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This study aims to analyze the hump-shaped relation of regions in East Java Province. The proof of hump-shaped relation is seen from the influence of the degree of fiscal decentralization on economic growth. Fiscal decentralization analysis which is the ratio of regional original income and total regional expenditure, as well as using control variables consisting of government investment, and education which is implemented with reading and writing ability figures. The method used in this research is the econometrics approach. The model used in this study is the Fixed Effect Model with the Gene

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Situngkir, Tiofan Bagus Wicaksono, and Syafri Syafri. "ANALISIS KEDALAMAN KEUANGAN, REDISTRIBUSI FISKAL DAN PENDIDIKAN PADA KETIMPANGAN PENDAPATAN DI INDONESIA TAHUN 2010–2018." Media Ekonomi 28, no. 2 (2021): 141–58. http://dx.doi.org/10.25105/me.v28i2.8151.

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This Study aims to analyze the effect credit per GDP, General allocation funds (DAU), And average length of scholling in the gini ratio. The data used is secondary data, derived from the publication of the central bureau of statistics, directorate general of fiscal balance and bank indonesia, in the form of annual data from 2010 to 2018. the analytical method used is panel data regression with the number of objects in 32 provinces in indonesia, except dki jakarta and north kalimantan provinces. The results showed that credit per grdp had a significant positive effect on the gini ratio at the 9

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40

Cao, Shuwen. "Development and Evolution of Digital Construction Management Adoption in China’s Construction Industry." Journal of Architectural Research and Development 9, no. 3 (2025): 15–22. https://doi.org/10.26689/jard.v9i3.10649.

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The development of digital construction management is an important initiative to promote the digital transformation of the construction industry. But the attention to the regional differences in the development level of digital construction management in China from the industrial level is still relatively scarce. In this paper, the combination assignment method, Dagum’s Gini coefficient and Kernel density estimation method, are used to explore the regional differences and their dynamic evolution trends of China’s digital construction management development level. The study finds that the overa

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Rahman, Arif, Ahmad Albar Tanjung, Ramli Ramli, and Muhammad Arif. "Determinants of Income Inequality in a Time Perspective in Indonesia." Economics Development Analysis Journal 12, no. 2 (2023): 231–42. http://dx.doi.org/10.15294/edaj.v12i2.62755.

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The development orientation which is more dominant on growth, has been impaled to widen the inequality gap. The purpose of this study is to analyze the short-term and long-term effects of several determinants of income in Indonesia during 1998-2021. Data sourced from the World Bank in a time series format. The study method uses descriptive quantitative analysis with the Error Correction Model approach. The Gini index is used as the dependent variable, while the independent variables include the ratio of the work force graduates above senior high school, urban population growth, the agricultura

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Cai, Siyu, Xiaohui Lei, Xianyong Meng, and Ji Yi. "Ecological flow analysis method based on the comprehensive variation diagnosis of Gini coefficient." Journal of Intelligent & Fuzzy Systems 34, no. 2 (2018): 1025–31. http://dx.doi.org/10.3233/jifs-169396.

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Matsumoto, Kunichika, Kanako Seto, Shigeru Fujita, Takefumi Kitazawa, and Tomonori Hasegawa. "Population aging and physician maldistribution: A longitudinal study in Japan." Journal of Hospital Administration 5, no. 1 (2015): 29. http://dx.doi.org/10.5430/jha.v5n1p29.

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Background: Over the past two decades, population aging and the introduction of the new postgraduate medical education program in 2004 have impacted on the geographic maldistribution of physicians in Japan. The purpose of this study was to evaluate recent changes in physician distribution across municipalities from 1996 to 2012 using Gini coefficients and to clarify the impact of the new medical education program on physician distribution.Methods: We extracted the number of physicians classified by type of medical institution and municipal bodies. Gini coefficients were calculated using both p

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Zou, Jin, and Dong Han. "Yule–Walker Equations Using a Gini Covariance Matrix for the High-Dimensional Heavy-Tailed PVAR Model." Mathematics 9, no. 6 (2021): 614. http://dx.doi.org/10.3390/math9060614.

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Gini covariance plays a vital role in analyzing the relationship between random variables with heavy-tailed distributions. In this papaer, with the existence of a finite second moment, we establish the Gini–Yule–Walker equation to estimate the transition matrix of high-dimensional periodic vector autoregressive (PVAR) processes, the asymptotic results of estimators have been established. We apply this method to study the Granger causality of the heavy-tailed PVAR process, and the results show that the robust transfer matrix estimation induces sign consistency in the value of Granger causality.

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Lou, Yanqian, Qingtai Qiu, Mingtai Zhang, Zhonglun Feng, and Jie Dong. "Spatial Equilibrium Evaluation of the Water Resources in Tai’an City Based on the Lorenz Curve and Correlation Number." Water 15, no. 14 (2023): 2617. http://dx.doi.org/10.3390/w15142617.

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Water resource spatial equilibrium evaluations provide the bases for water resource utilization and allocation. To analyze the regional spatial water resource matching balance, this study constructed a water resource spatial matching model based on the Gini coefficient and Lorenz curve methods. To further reflect the influence of each subregion on the whole region, we combined the correlation number and Gini coefficient methods to propose the water resource spatial balance evaluation method. Herein, we constructed nine Lorenz curve pairs that matched the total water resources and total water u

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WEN, FENGHUA, and ZHIFENG LIU. "A COPULA-BASED CORRELATION MEASURE AND ITS APPLICATION IN CHINESE STOCK MARKET." International Journal of Information Technology & Decision Making 08, no. 04 (2009): 787–801. http://dx.doi.org/10.1142/s0219622009003612.

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In this paper, a copula-based correlation measure is proposed to test the interdependence among stochastic variables in terms of copula function. Based on a geometric analysis of copula function, a new derivation method is introduced to derive the Gini correlation coefficient. Meantime theoretical analysis finds that the Gini correlation coefficient tends to overestimate the tail interdependence in the case of stochastic variables clustering at the tails. For this overestimation issue, a fully new correlation coefficient called Co is developed and extended to measure the tail interdependence.

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Genèev, Marian. "A note on a property of the Gini coefficient." Communications in Mathematics 27, no. 2 (2019): 81–88. http://dx.doi.org/10.2478/cm-2019-0008.

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AbstractThe scope of this note is a self-contained presentation of a mathematical method that enables us to give an absolute upper bound for the difference of the Gini coefficients|G(σ1, . . ., σn) − G(γ1, . . . , γn)| ,where (γ1, . . . , γn) represents the vector of the gross wages and (σ1, . . . , σn) represents the vector of the corresponding super-gross wages that is used in the Czech Republic for calculating the net wage. Since (as of June 2019) σi = 100 ⎡ 1.34 γi/100⎤, the study of the above difference seems to be somewhat inaccessible for many economists. However, our estimate based on

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Mutiara, Winda. "Analisis Faktor-Faktor Yang Mempengaruhi Indeks Pembangunan Manusia Di Kabupaten Nias Barat." Ekopem: Jurnal Ekonomi Pembangunan 5, no. 1 (2023): 11–19. http://dx.doi.org/10.32938/jep.v5i1.3579.

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ABSTRACTDevelopment is an effort to improve human life, so that the human aspect becomes the dominant aspect of development. The purpose of this study was to determine whether the number of unemployed, poverty levels, Gini ratio, population, and Gross Regional Domestic Product (GRDP) affect the Human Development Index (IPM) in West Nias Regency. The population in this study is West Nias Regency and the samples are the Total Unemployment, Poverty Level, Gini Ratio, Total Population, Gross Regional Domestic Product (GRDP) and Human Development Index (IPM) of West Nias Regency in 2010-2021. The m

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Ekawati Berutu, Ragel Yona Putri, M Sandy Maulana, Asnidar Asnidar, and Ahmad Ridha. "Analisis Faktor – Faktor Yang Mempengaruhi Indeks Pembangunan Manusia Di Sumatera Barat." MENAWAN : Jurnal Riset dan Publikasi Ilmu Ekonomi 2, no. 1 (2023): 236–48. http://dx.doi.org/10.61132/menawan.v2i1.181.

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IPM is an important indicator for measuring success in efforts to build the quality of human life (society/population) in Indonesia, including in West Sumatra Province. The aim of this research is to analyze gross regional domestic product, economic growth rate, Gini index and poverty in West Sumatra Province 2013-2022. The analytical method used in this research is multiple linear regression analysis. The data used in this research is secondary data and is a form of time series data. Based on the results of multiple linear analysis, PDRB per capita partially has a positive and significant eff

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Fitrah Barokah Qur’aini and Muhammad Yasin. "Analisis Disparitas Pendapatan Pengusaha Sapi Perah Yang Berada Di Desa Pacet Kecamatan Pacet Kabupaten Mojokerto." Transformasi: Journal of Economics and Business Management 2, no. 3 (2023): 100–106. http://dx.doi.org/10.56444/transformasi.v2i3.960.

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This study aims to determine the income disparity of dairy cattle entrepreneurs in Pacet Village, Pacet District, Mojokerto Regency. This research method uses a descriptive quantitative method using primary data, the data used is a questionnaire obtained from respondents of dairy cattle entrepreneurs. The data analysis tool in this study is the gini ratio. The results of this study can be explained that the total % of income in class in the first class is 0.86%, the second class is 0.14%, the third class is 0.20%, the fourth class is 0.26%, the fifth class is 0,32% with a total percent of inco

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