Results 91 to 100 of about 111,065 (344)
Coefficient of variation and Power Pen's parade computation [PDF]
Under the the assumption that income y is a power function of its rank among n individuals, we approximate the coefficient of variation and gini index as functions of the power degree of the Pen's parade.
Jules Sadefo Kamdem
core
Gini, deprivation and complaints [PDF]
, 2005 Recent insights from the philosopher Larry Temkin have suggested a new basis for the measurement of income inequality, founded on the notion of individual “complaints” about income distribution.
Cowell, Frank
core +1 more source
Energy Science &Engineering, EarlyView.On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan +8 more
wiley +1 more source
Priorities of the Russian business environment: The Gini index, personal income tax and key interest rate [PDF]
, 2019 Valerii V. SMIRNOV, A.V. Mulendeeva
openalex +1 more source
How to Measure Carbon Equity: Carbon Gini Index Based on Historical Cumulative Emission Per Capita [PDF]
This paper uses Lorenz Curve and Gini Index with adjustment to per capita historical cumulative emission and constructs Carbon Gini Index to measure inequality in climate change area. The analysis using Carbon Gini Index shows that 70% of carbon space in
He Jiankun, Pan Xunzhang, Teng Fei
core
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
Journal of Forecasting, EarlyView.ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Modified Gini Index Detector for Cooperative Spectrum Sensing over Line-of-Sight Channels. [PDF]
Sensors (Basel), 2023 Guimarães DA.
europepmc +1 more source
Inequality measures in kinetic exchange models of wealth distributions
, 2016 In this paper, we study the inequality indices for some models of wealth exchange. We calculated Gini index and newly introduced k-index and compare the results with reported empirical data available for different countries. We have found lower and upper
Chakrabarti, Bikas K. +3 more
core +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
Journal of Forecasting, EarlyView.ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
Electronic Physician, 2017 Background: Health workforce distribution is so important in access posture, coverage and equity. Following millennium development goals (MDGs), special attention to health workforces in relation with maternal and child health is required.
Rasoul Honarmand +2 more
doaj +1 more source