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Relevant bibliographies by topics / Fully Modified Least Squares Method

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Academic literature on the topic 'Fully Modified Least Squares Method'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Fully Modified Least Squares Method"

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Yurdakul, Funda. "Correlations between energy consumption per capita, growth rate, industrialisation, trade volume and urbanisation: the case of Turkey." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 10 (2018): 118–27. http://dx.doi.org/10.18844/prosoc.v4i10.3085.

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This study examines the relationship of energy consumption per capita with growth rate, industrialisation, trade volume and urbanisation in Turkish economy throughout the 1980–2015 period using the Engle-Granger, Fully modified ordinary least squares (FMOLS), canonical cointegration regression (CCR) and dynamic ordinary least squares (DOLS) methods. Analysis results revealed a long-run equilibrium relationship between the change in energy consumption per capita and growth rate, industrialisation, trade volume and urbanisation. Urbanisation, industrialisation, growth rate and trade volume posit

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Alihodžić, Almir. "Assessment of the profitability of selected insurance companies: The case of the Republic of Serbia." Bankarstvo 53, no. 2-3 (2024): 144–93. https://doi.org/10.5937/bankarstvo2403144a.

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This paper aimed to examine specific factors that influence and have prognostic power on the profitability of selected insurance companies in the Republic of Serbia. Panel data were used for four insurance companies operating in the Republic of Serbia from 2013 to 2022, to estimate a linear model between the determinants that are theoretically expected to affect the performance and profitability of insurance companies. The findings of the paper revealed that company size according to all three methods (method of least squares, method of fully modified least squares, and robust method of least

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Wahyudi, Heru, Thomas Andrian, Driya Wiryawan, Sandra Mei Leny, and Winda Rika Lestari. "The Competitiveness of the Indonesian Medium High Technology Sector: Robust Least Squares and Fully Modified Ordinary Least Squares Approach." International Review of Management and Marketing 15, no. 2 (2025): 51–59. https://doi.org/10.32479/irmm.17787.

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Revealed comparative advantage (RCA) is a key indicator that reflects the competitiveness of a country and plays an important role in determining the position of a country in the global value chain, especially in the medium high technology sector. A high RCA value indicates a country’s ability to compete effectively, while a low RCA value may indicate a greater dependence on imported products and a weakened position of local industries. Factors that influence the RCA value are Retail E-commerce Sales and Domestic Direct Investment (DDI). This study explores the interaction dynamics of Retail E

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Christou, Christina, and Nikitas Pittis. "KERNEL AND BANDWIDTH SELECTION, PREWHITENING, AND THE PERFORMANCE OF THE FULLY MODIFIED LEAST SQUARES ESTIMATION METHOD." Econometric Theory 18, no. 4 (2002): 948–61. http://dx.doi.org/10.1017/s0266466602184076.

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This paper examines several practical issues regarding the implementation of the Phillips and Hansen fully modified least squares (FMLS) method for the estimation of a cointegrating vector. Various versions of this method arise by selecting between standard and prewhitened kernel estimation and between parametric and nonparametric automatic bandwidth estimators and also among alternative kernels. A Monte Carlo study is conducted to investigate the finite-sample properties of the alternative versions of the FMLS procedure. The results suggest that the prewhitened kernel estimator of Andrews and

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Davydenko, Mikhail, and Eric Verschuur. "Full wavefield least-squares reverse time migration." GEOPHYSICS 86, no. 5 (2021): WC67—WC74. http://dx.doi.org/10.1190/geo2020-0866.1.

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Waveform inversion based on least-squares reverse time migration (LSRTM) usually involves Born modeling, which models the primary-only data. As a result, the inversion process handles only primaries and corresponding multiple elimination preprocessing of the input data is required prior to imaging and inversion. Otherwise, multiples left in the input data are mapped as false reflectors, also known as crosstalk, in the final image. At the same time, the developed full-wavefield migration (FWM) methodology can handle internal multiples in an inversion-based imaging process. However, because it i

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Hardia, Natasha Athira Keisha, and Gebrina Rezeki. "Examining the Static and Dynamic Relationship Between Policy Rates and Stock Prices: A Panel Data Analysis." Grimsa Journal of Business and Economics Studies 1, no. 1 (2023): 25–32. http://dx.doi.org/10.61975/gjbes.v1i1.16.

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This study aims to examine the impact of the central bank’s interest rate on the stock price of the top five largest capitalization companies in Indonesia from January 2009 to December 2022. The research method employs both static and dynamic approaches, including Ordinary Least Squares (OLS), Robust Least Squares (RLS), Dynamic Ordinary Least Squares (DOLS), and Fully-Modified Ordinary Least Squares (FMOLS) methods. The results of econometric estimation align with the theory and this study's hypothesis, indicating that the increase of the central bank's interest rate negatively impacts compan

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Belloumi, Mounir, and Atef Saad Alshehry. "The Causal Relationships Between Corruption, Investments and Economic Growth in GCC Countries." SAGE Open 11, no. 4 (2021): 215824402110544. http://dx.doi.org/10.1177/21582440211054425.

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This paper investigates the impact of corruption on economic growth and investments in the Gulf Cooperation Council countries over the period 2003 to 2016 using the panel vector error correction model and the panel fully modified ordinary least squares method developed by Pedroni. We find that there is at least one cointegration relationship between the variables. The results of Granger causality tests indicate that corruption does not cause economic growth, foreign and domestic investments in the short run. Moreover, we find that there is strong long run unidirectional causality running from

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AYIBATIN, Didier, and Alastaire Sèna ALINSATO. "Infrastructures et industrialisation : Evidence des pays de l’UEMOA." Revue d’Economie Théorique et Appliquée 14, no. 1 (2024): 41–60. https://doi.org/10.62519/reta.v14n1a3.

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Résumé : La croissance du produit intérieur brut et du revenu par habitant des citoyens d’une économie impose de stimuler son industrialisation dans laquelle les infrastructures peuvent jouer un rôle important. Cet article évalue les effets de long terme des infrastructures sur l’industrialisation dans l’espace UEMOA avec des données de panel couvrant la période 2005 à 2021. A l’aide de la méthode de Fully Modified Ordinary Least Square (FMOLS) couplée à celle de Dynamics Ordinary Least Squares (DOLS), les résultats montrent qu’il y a une relation de long terme positive entre les infrastructur

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Bayoud, Sara, Nabil Sifouh, and Mohamed Chemlal. "Determinants of Financial Moroccan Banks Performance: Approach by the Cointegration Method." Mediterranean Journal of Social Sciences 9, no. 4 (2018): 141–48. http://dx.doi.org/10.2478/mjss-2018-0123.

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Abstract The purpose of this paper is to test the long-term relationship between banks financial performance and two groups of variables, internal variables specific to the bank, and exogenous macroeconomic variables. To appreciate this long-term relationship, we applied the Fully Modified Ordinary Least Squares FMOLS method as a technique for estimation cointegrated panel data. Over a period of 26 semesters (2004 to 2016), our results show that a set of internal variables explains the financial performance of banks. As for external factors, economic growth explains this performance, while inf

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Sarkodie, Samuel Asumadu, Emmanuel Ackom, Festus Victor Bekun, and Phebe Asantewaa Owusu. "Energy–Climate–Economy–Population Nexus: An Empirical Analysis in Kenya, Senegal, and Eswatini." Sustainability 12, no. 15 (2020): 6202. http://dx.doi.org/10.3390/su12156202.

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Motivated by the Sustainable Development Goals (SDGs) and its impact by 2030, this study examines the relationship between energy consumption (SDG 7), climate (SDG 13), economic growth and population in Kenya, Senegal and Eswatini. We employ a Kernel Regularized Least Squares (KRLS) machine learning technique and econometric methods such as Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS) regression, the Mean-Group (MG) and Pooled Mean-Group (PMG) estimation models. The econometric techniques confirm the Environmental Kuznets Curve (EKC) hypothesis between i

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Dissertations / Theses on the topic "Fully Modified Least Squares Method"

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Critchfield, Brian L. "Statistical Methods For Kinetic Modeling Of Fischer Tropsch Synthesis On A Supported Iron Catalyst." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1670.pdf.

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"Fully modified least squares estimation and vector autoregression of models with seasonally integrated processes." 1997. http://library.cuhk.edu.hk/record=b5889213.

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by Gilbert Chiu-sing Lui.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.<br>Includes bibliographical references (leaves 112-117).<br>Chapter 1. --- Introduction --- p.1<br>Chapter 2. --- Models and Assumptions --- p.4<br>Chapter 3. --- Asymptotics of FM-SEA Estimators --- p.15<br>Chapter 3.1. --- Model without Determinstic Trends --- p.15<br>Chapter 3.2. --- Model with Determinstic Trends --- p.27<br>Chapter 4. --- Asymptotics of FM-SEA Estimators of VAR System --- p.33<br>Chapter 4.1. --- General Model --- p.33<br>Chapter 4.2. --- Model with d = 4 --- p.44<br>Chapter 5. -

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Wu, Hui-Hsien, and 吳惠仙. "A New Edge-Directed Interpolation method Based on Modified Weighted Least Squares." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/28100649106118515280.

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碩士<br>國立中興大學<br>資訊科學與工程學系<br>102<br>While the demands to the images’ quality are increasing, how to upscaling a low resolution image to a high resolution image without artifacts has become a common issue in the related fields of research. The technique of “image interpolation” is to improve the resolution of a image which is able to preserve the characteristics of natural images. A lack fidelity image with different degree, such as jagged or blur, is usually caused by a zoom in image without be fill up according to different characteristics. This could be found in traditional interpolation me

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Roach, Lisa Aretha Nyala. "Temporal Variations in the Compliance of Gas Hydrate Formations." Thesis, 2012. http://hdl.handle.net/1807/44081.

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Seafloor compliance is a non-intrusive geophysical method sensitive to the shear modulus of the sediments below the seafloor. A compliance analysis requires the computation of the frequency dependent transfer function between the vertical stress, produced at the seafloor by the ultra low frequency passive source-infra-gravity waves, and the resulting displacement, related to velocity through the frequency. The displacement of the ocean floor is dependent on the elastic structure of the sediments and the compliance function is tuned to different depths, i.e., a change in the elastic parameters

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Book chapters on the topic "Fully Modified Least Squares Method"

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Lakkis, Omar, and Amireh Mousavi. "A Least-Squares Galerkin Gradient Recovery Method for Fully Nonlinear Elliptic Equations." In Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55874-1_64.

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Chowdhury, Habibullah Amin, Grand Roman Joldes, Adam Wittek, Barry Doyle, Elena Pasternak, and Karol Miller. "Implementation of a Modified Moving Least Squares Approximation for Predicting Soft Tissue Deformation Using a Meshless Method." In Computational Biomechanics for Medicine. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15503-6_6.

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Mulama, Olga Nekesa, and Caroline Wanjiru Kariuki. "Panel Analysis of the Relationship Between Weather Variability and Sectoral Output in Kenya." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_77.

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AbstractClimate change and economic growth are closely connected. Climate change has the potential to reduce economic growth in developing countries due to their limited ability to respond to the negative impacts of a changing climate. A better understanding of weather variability can enhance climate change policies, which would help to support economic growth in these countries. As such, this research sought to examine if there is a long-run relationship between sectoral output and weather variables (temperature and rainfall) and to analyze the effect of weather variability on sectoral output

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Kiziltan, Mustafa. "The Effects of Population Aging and Life Expectancy on Economic Growth." In Advances in Human Services and Public Health. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7327-3.ch007.

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This study examines the effects of gross saving rates, gross capital formation, population aging, and life expectancy on income growth between 1985 and 2018 for selected emerging market and middle-income economies. The estimates by feasible generalized least squares (FGLS), fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), canonical cointegrating regressions (CCR), and Driscoll-Kraay methods show the impact of population aging on income growth is positive. However, life expectancy gives positive results for gross domestic product per capita growth and negati

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Yakubu, Ibrahim Nandom, Ayhan Kapusuzoglu, and Nildag Basak Ceylan. "Does Economic Freedom Matter for Bank Performance and Energy Consumption?" In Advances in Environmental Engineering and Green Technologies. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8335-7.ch014.

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This study investigates the influence of economic freedom on energy consumption and bank performance in Ghana over the period 2000-2017. Specifically, the authors examine the effect of the various components of economic freedom on total energy usage, fossil fuel consumption, and bank performance. The study applies the fully modified ordinary least squares (FMOLS) method to determine the long-run influence of economic freedom indicators on energy consumption and bank performance. The results show that aside from business freedom, all the other sub-economic freedom measures significantly drive t

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Şanlı, Orhan. "Are Energy Intensity, Total Primary Energy Consumption, Renewable Energy Consumption, and CO2 Emissions a Driver for Economic Growth? Evidence from Turkiye." In Teoriden Pratiğe Ekonomi Politikaları ve Dönüşümü I. Özgür Yayınları, 2023. http://dx.doi.org/10.58830/ozgur.pub293.c1268.

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This primary purpose of this study is to investigate the impact of energy intensity (EI), total primary energy consumption per capita (EC), renewable energy consumption (REW) and CO2 emissions, which are among the energy security elements, on GDP in Turkiye. Additionally, population (POP) and trade openness (TO) rates are control variables in the model. The analysis of the study consists of annual data from 1980 to 2022. The fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) approaches were used in this study to estimate long-term models. The study also emp

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Yu Weiyu and Yang Jie. "Noisy Image Restoration Using A Modified Artificial Bee Colony Algorithm." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-927-0-677.

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This paper proposes a new approach for noisy image restoration using modified artificial bee colony algorithm (ABC algorithm). ABC algorithm combined with the constrained least squares filtering method is used to restore image. In the fuzzy identification, point spread function (PSF) is obtained using ABC algorithm. In the restoring part, the constrained least squares filtering method is used for image restoration. Iterative process is repeated to obtain the estimation of the noisy image. Proposed approach overcomes the problem of the traditional image restoring, which needs to know the PSF in

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Cetin, Irem. "How Does Globalization Affect the Government's Public Finance?" In Handbook of Research on Institutional, Economic, and Social Impacts of Globalization and Liberalization. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4459-4.ch003.

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This chapter investigates the long-run effect of globalization on public finance using data of developing countries from 2005 to 2017. The present research makes a contribution to the literature from various aspects. Firstly, integration and cointegration properties of the variables are considered. Then, the cointegrating relationship between globalization and public finance indicators is estimated by employing the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) estimators. The empirical results are mixed. Globalization influences both government expendi

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Pachiyappan, Sathish, Jabez J. P., Shylaja H. N., John Paul Raj V, and Saravanan Vellaiyan. "Assessing the Role of Trade Openness, FDI, and Political Stability on Sustainable Development." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9979-5.ch008.

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The study tries to investigate the long run and short run relationship between trade openness (TO), political stability (PO), and FDI on sustainable development of select developed and developing nations. Time series data from 1995 to 2021 of about 25 economies—10 developed economies and 15 developing economies—was collected and analyzed using Phillips Perron Fisher panel unit root test, panel auto regressive distributed lag (PARDL) model, and panel fully modified least squares/fully modified OLS. From the result, it found that FDI and TO are positively contributing to sustainability developme

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Poura’bd Rokn Saraei, Massoumeh, and Mashaallah Matinfar. "Modified Moving Least Squares Method for Two-Dimensional Linear and Nonlinear Systems of Integral Equations." In Nonlinear Systems -Theoretical Aspects and Recent Applications. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.89394.

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Conference papers on the topic "Fully Modified Least Squares Method"

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Ueda, M., H. Okamoto, T. Kobayashi, K. Kondo, K. Ogawa, and T. Kudo. "Performance of High Corrosion Resistant Duplex Stainless Steel in Chloride and Sour Environments." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93125.

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Abstract Effect of W, Mo and N contents on pitting corrosion resistance of 25Cr and 23Cr base duplex stainless steels was investigated using the ferric chloride test according to ASTM G48. The improving effect by W addition for pitting corrosion was found out, and the modified pitting resistance equivalent(PREW) of Cr+3.3(Mo+0.5W)+16N was determined by using the least-squares method. In addition, effect of W, Mo and N contents on pitting corrosion at heat-affected zone in weldment was studied to decide the proper chemistry of the base metal. From these results, 25Cr duplex stainless steel with

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Michel, James H., Carol A. Powell, and Harold T. Michels. "An Assessment of the Biofouling Resistance and Copper Release Rate of 90-10 Copper-Nickel Alloy." In CORROSION 2011. NACE International, 2011. https://doi.org/10.5006/c2011-11352.

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Abstract 90-10 copper-nickel is one of the few engineering alloys available which offer both high resistance to seawater corrosion and biofouling. The alloy is not immune to microfouling but colonization of macrofouling is much restricted. The mechanism is not fully understood and is thought to be at least partially linked to copper ion release from the complex protective surface film. There may also be an effect of the nature of the surface film itself. There are no suitable standards available to assess copper release from solid alloys but ASTM* D64421, Standard Test Method for Copper Releas

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Wang, Wang Xiao, and Jianyin Xie. "A New Integrated Algorithm of Structure Determination and Parameter Estimation for Nonlinear Systems Identification." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8393.

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Abstract A new integrated algorithm of structure determination and parameter estimation is proposed for nonlinear systems identification in this paper, which is based on the Householder Transformation (HT), Givens and Modified Gram-Schmidt (MGS) algorithms. While being used for the polynomial and rational NARMAX model identification, it can select the model terms while deleting the unimportant ones from the assumed full model, avoiding the storage difficulty as the CGS identification algorithm does which is proposed by Billings et. al., and is numerically more stable. Combining the H algorithm

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Chen, Shih-Yu, Yen-Chieh Ouyang, Chinsu Lin, Hsian-Min Chen, Cheng Gao, and Chein-I. Chang. "Progressive endmember finding by fully constrained least squares method." In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2015. http://dx.doi.org/10.1109/whispers.2015.8075382.

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Özbek, Gökhan Berk. "The Effect of Volatility Index on Turkish and European Stock Indices." In International Conference on Eurasian Economies. Eurasian Economists Association, 2023. http://dx.doi.org/10.36880/c15.02767.

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In times of high uncertainty, it is usual for investors to be cautious about the capital markets and turn to investment instruments that are considered a security blanket. This situation may adversely affect the capital markets and the real sector. In this context, it is aimed to investigate the effect of the Volatility Index (VIX), also known as Fear Index, on some European stock markets. In the study, five different models were created in which the independent variable is VIX and the dependent variables are FTSE 100, DAX, CAC 40, BIST 30 and BIST Participation 30. Including the BIST Particip

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Taira, K., J. Frankel, and M. Keyhani. "Metric analysis for the modified discrete least-squares method." In 40th AIAA Aerospace Sciences Meeting & Exhibit. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-658.

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Lin, H. T., C. S. Liao, F. D. Chu, and W. H. Tseng. "Fully utilization of TWSTT network data by weighted least squares method." In 2010 Conference on Precision Electromagnetic Measurements (CPEM 2010). IEEE, 2010. http://dx.doi.org/10.1109/cpem.2010.5545284.

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Frankel, J., M. Keyhani, and K. Taira. "A modified discrete least-squares method for optimal solutions in inverse problems." In 40th AIAA Aerospace Sciences Meeting & Exhibit. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-657.

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Chen, Jie, Cedric Richard, Henri Lanteri, Celine Theys, and Paul Honeine. "A gradient based method for fully constrained least-squares unmixing of hyperspectral images." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967687.

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Bose, Shilpi, Chandra Das, Tamaghna Gangopadhyay, and Samiran Chattopadhyay. "A Modified Local Least Squares-Based Missing Value Estimation Method in Microarray Gene Expression Data." In 2013 2nd International Conference on Advanced Computing, Networking and Security (ADCONS). IEEE, 2013. http://dx.doi.org/10.1109/adcons.2013.11.

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Reports on the topic "Fully Modified Least Squares Method"

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Kraujalienė, Lidija, Atif Yaseen, and Inga Bilinskienė. Effects of Natural Resources and Renewable Energy Consumption on Carbon Dioxide Emmisions in the Country Economics. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.3.5.

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Climate change is a highly debated issue among policymakers and stakeholders because it catalyzes numerous other problems. Similarly, natural resources are a blessing for any country’s economic development, but sometimes, this blessing can become a source of many problems. The research rigorously employs the Autoregressive Distributed Lag (ARDL) model, a widely accepted econometric tool for analyzing long-run relationships, and aims to investigate the impact of natural resources, renewable energy consumption, and agricultural activities on carbon emissions, considering economic growth in Russi

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Alvaredo, Facundo, François Bourguignon, Francisco H. G. Ferreira, and Nora Lustig. Seventy-five Years of Measuring Income Inequality in Latin America. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005211.

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Drawing on a comprehensive compilation of quantile shares and inequality measures for 34 countries, including over 5,600 estimated Gini coefficient, we review the measurement of income inequality in Latin America and the Caribbean over the last seven decades. Although the evidence from the first quarter century roughly until the 1970s is too fragmentary and difficult to compare, clearer patterns emerge for last fifty years. The central feature of these patterns is a broad inverted U curve, with inequality rising in most countries prior to the 1990s, and falling during the early 21st Century, a

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