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Articles de revues sur le sujet « Impact Estimation »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Johnson, Rebecca L., and Eric Moore. "Tourism impact estimation." Annals of Tourism Research 20, no. 2 (1993): 279–88. http://dx.doi.org/10.1016/0160-7383(93)90055-8.

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Gunawan, Fergyanto E., Hiroomi Homma, and Yasuhiro Kanto. "ACCURATE ESTIMATION OF IMPACT FORCE BY INVERSE ANALYSIS." Proceedings of the JSME annual meeting 2004.1 (2004): 209–10. http://dx.doi.org/10.1299/jsmemecjo.2004.1.0_209.

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Özcan, Seyit Emre, and Hayri Arabaci. "Calculation vs. estimation: Impact of internal resistance determination on SOC estimation accuracy in lithium-ion batteries." Energy Storage and Conversion 3, no. 2 (2025): 3249. https://doi.org/10.59400/esc3249.

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The electrical equivalent circuit model (ECM) is widely employed for state of charge (SOC) estimation in lithium-ion batteries. Among ECM-based approaches, the Thevenin equivalent circuit model (TECM) is particularly favored due to its computational efficiency and ease of parameter identification. TECM can be implemented in various configurations, with 1RC, 2RC, and 3RC structures being the most common. In these configurations, each RC unit consists of a resistor (R) and a capacitor (C) connected in parallel and incorporated into the circuit branch in series. As the number of RC branches incre

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Wang, Wei, Songze Guan, Juan Li, Yuefei Tang, and Tianyu He. "The impact of Fintech on bank development: A meta-analysis investigation." E+M Ekonomie a Management 28, no. 1 (2025): 152–69. https://doi.org/10.15240/tul/001/2025-1-010.

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To test whether the results of the empirical literature on bank Fintech are affected by the characteristics of specific research, the paper selects existing high-quality empirical literature to conduct a meta-analysis. It finds that the empirical estimation results conducted across various studies are influenced significantly by factors such as sample interval, estimation methods, measurement indicators for Fintech and bank development, and the inverse of the model count. Specifically, the probability of obtaining significant estimation findings increases with earlier sample start-time and the

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Nicolaou, Panicos, Deborah L. Thurston, and James V. Carnahan. "Machining Quality and Cost: Estimation and Tradeoffs." Journal of Manufacturing Science and Engineering 124, no. 4 (2002): 840–51. http://dx.doi.org/10.1115/1.1511169.

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Simultaneous improvement of machining cost, quality and environmental impact is sometimes possible, but after the Pareto optimal frontier has been reached, decisions must be made regarding unavoidable tradeoffs. This paper presents a method for formulating a mathematical model for first estimating quality, cost and cutting fluid wastewater treatment impacts of two machining operations (end milling and drilling), and then for tradeoff decision making. The milling quality estimation model is developed through virtual experimentation on a simulation model, while the drilling quality estimation mo

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YOON, DOO-BYUNG, JIN-HO PARK, YOUNG-CHUL CHOI, and HYU-SANG KWON. "AN IMPACT SOURCE IDENTIFICATION TECHNIQUE FOR A SHELL TYPE STRUCTURE." Modern Physics Letters B 22, no. 11 (2008): 1159–64. http://dx.doi.org/10.1142/s0217984908016005.

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A time-frequency analysis technique is proposed to enhance the estimation capability for an impact mass for a shell type structure. The validity of the proposed method is verified through an experiment. The experimental result demonstrates that the proposed method is valid for estimating the center frequency of an impact response signal easily, even in a noisy environment. It is expected that the proposed method can be used to enhance the accuracy of an impact mass estimation for a shell type structure.

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Privé, N. C., and R. M. Errico. "Uncertainty of Observation Impact Estimation in an Adjoint Model Investigated with an Observing System Simulation Experiment." Monthly Weather Review 147, no. 9 (2019): 3191–204. http://dx.doi.org/10.1175/mwr-d-19-0097.1.

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Abstract Adjoint models are often used to estimate the impact of different observations on short-term forecast skill. A common difficulty with the evaluation of short-term forecast quality is the choice of verification fields. The use of self-analysis fields for verification is typical but incestuous, and it introduces uncertainty resulting from biases and errors in the analysis field. In this study, an observing system simulation experiment (OSSE) is used to explore the uncertainty in adjoint model estimations of observation impact. The availability of the true state for verification in the O

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Miranda, M. Cristina, Manuela Souto De Miranda, and M. Ivette Gomes. "New Approaches to Extremal Index Estimation." WSEAS TRANSACTIONS ON SYSTEMS 23 (October 22, 2024): 223–31. http://dx.doi.org/10.37394/23202.2024.23.25.

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The extremal index is a parameter associated with the extreme value distributions of dependent stationary sequences. Under certain local dependence conditions, exceedances above a specified threshold tend to occur in isolated clusters. The reciprocal of the extremal index can be interpreted as the limiting size of these clusters. Accurately estimating the size of such clusters is crucial for analyzing real data and can significantly influence decision making processes that impact population well being. The paper presents a recent method for the estimation of the extremal index which starts by

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Kahandawa, Ravindu, Niluka Domingo, Gregory Chawynski, and S. R. Uma. "Factors impacting post-earthquake damage repair cost estimations." International Journal of Disaster Resilience in the Built Environment 12, no. 1 (2020): 29–49. http://dx.doi.org/10.1108/ijdrbe-10-2019-0071.

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Purpose Reconstruction processes after an earthquake require estimating repair costs to decide on whether to repair or rebuild. This requires an accurate post-earthquake cost estimation tool. Currently, there are no post-earthquake loss estimation models to estimate repair costs accurately. There are loss assessment tools available, namely, HAZUS, performance assessment calculation tool (PACT), seismic performance and loss assessment tool (SLAT) and seismic performance prediction tool, which have not been specifically used for post-earthquake repair cost estimation. This paper aims to focus on

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Ishibashi, Toshiyuki. "Adjoint-Based Observation Impact Estimation with Direct Verification Using Forward Calculation." Monthly Weather Review 146, no. 9 (2018): 2837–58. http://dx.doi.org/10.1175/mwr-d-18-0037.1.

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Abstract The adjoint-based observation impact estimation method has been providing essential information to improve data assimilation systems (DASs) in numerical weather prediction (NWP). This paper has two purposes. The first is to verify the four approximations used in the method: iterative construction of the Kalman gain adjoint operator, the tangent linear (TL) approximation of a forecast model, ignoring cross terms of observation impacts, and approximations for incremental DASs. The second is to add new information to our knowledge of observation impacts. For the verification of the adjoi

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Pietak, Lukasz. "Structural Funds and Convergence in Poland." Revista Hacienda Pública Española 236, no. 1 (2021): 3–37. http://dx.doi.org/10.7866/hpe-rpe.21.1.1.

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This study aimed to investigate whether cohesion policy funds affected economic growth and resulted in a convergence process across NUTS 2 regions in Poland. The study examined a balanced panel of data from 16 Polish regions between 2004 and 2016 and applied different estimations procedures, in-cluding the fixed effects estimator –as the main estimator– and the GMM estimator. The empirical analysis revealed that cohesion policy funds had a positive impact on regional economic growth. How-ever, the influence of structural funds on convergence was shown to be weak in Poland. The results were rob

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Ul Islam, Zia, and George Thomas. "Impact of Climate Change on International Trade: An Empirical Estimation." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 2105–8. https://doi.org/10.21275/sr25424095413.

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Morio, Jérôme, Baptiste Levasseur, and Sylvain Bertrand. "Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis." Applied Sciences 11, no. 9 (2021): 3871. http://dx.doi.org/10.3390/app11093871.

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This paper addresses the estimation of accurate extreme ground impact footprints and probabilistic maps due to a total loss of control of fixed-wing unmanned aerial vehicles after a main engine failure. In this paper, we focus on the ground impact footprints that contains 95%, 99% and 99.9% of the drone impacts. These regions are defined here with density minimum volume sets and may be estimated by Monte Carlo methods. As Monte Carlo approaches lead to an underestimation of extreme ground impact footprints, we consider in this article multiple importance sampling to evaluate them. Then, we per

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Richards, S. J. "Mis-estimation risk: measurement and impact." British Actuarial Journal 21, no. 3 (2016): 429–57. http://dx.doi.org/10.1017/s1357321716000040.

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AbstractWhen deriving a demographic basis from experience data it is useful to know (i) what uncertainty surrounds that basis, and (ii) the financial impact of that uncertainty. Under the Solvency II regime in the EU, insurers must hold capital against a number of risks. One of these is mis-estimation risk, i.e. the uncertainty over the current rates of mortality and other biometric risks experienced by a portfolio. We propose a general method for assessing mis-estimation risk, and by way of illustration we look at how mis-estimation risk can be assessed for a portfolio of pensions in payment

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Pierre, Thomas, Mickaël Courtois, Dylan Le Maux, Muriel Carin, and Philippe Le Masson. "Gravity impact on viscosity measurements by aerodynamic levitation." High Temperatures-High Pressures 53, no. 3 (2024): 233–54. http://dx.doi.org/10.32908/hthp.v53.1609.

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This publication deals with the estimation of viscosity of liquid metals. It is proposed to discuss the possibility to determine this parameter during aerodynamic levitation experiments performed in ground laboratory. Once in liquid state, metallic sample is submitted to acoustic waves through the levitation gas making it oscillate and deform. A high speed camera records the radial periodic deformation during the relaxation period, meaning when incident waves stop. The evolutions of the sample radius over time are extracted from records and compared with analytical model based on the damped os

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Liderman, Krzysztof. "Risk of undesired changes to significant information quality criteria." Przegląd Teleinformatyczny 7(25), no. 3-4 (2019): 31–55. http://dx.doi.org/10.5604/01.3001.0013.6597.

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The article presents a method of estimating the risk of an undesirable change in the information quality criterion of secrecy, meaning estimating the risk of a certain class of information security incidents. The qualitative risk estimation method is adopted and the impact of a descriptive grade composition method on the results is discussed. The paper also shows considerations on the possibilities of interpreting the variables used in risk estimation and establishing the range of their actual values. It also describes how the identified range of actual variable values translates into grades u

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Jang, Jeong Bin, and Sung-Hoon Byun. "Performance analysis of passive acoustic ranging using a single hydrophone in shallow waters." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A343. http://dx.doi.org/10.1121/10.0027762.

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Passive source range estimation is one of the important research fields on the sonar system. Recent research has carried out range estimation using single hydrophone. This study presents the result of analyzing the impact of environmental conditions on range estimation performance when estimating the range of a moving source with a single hydrophone. Range estimation of a moving source using a single hydrophone estimates source velocity from the cross-correlated fields of the signal measured at time intervals. This method of estimating the source range from estimated source velocity is used. T

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Srivastava, Archana, Dr S KSingh, and Dr Syed Qamar Abbas. "Impact of End User Development Technical and Environmental Factors on Software Cost." International Journal of Engineering & Technology 7, no. 4 (2018): 2203. http://dx.doi.org/10.14419/ijet.v7i4.13268.

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Software project manager is confronted with the dilemma of accurate estimation at the very beginning of the project. Quantitative estimates are required at the early stages of development. Software cost estimation is accounted as an important factor while making estimations in Software Engineering. There is no simple way to make an accurate estimate of the effort required to develop software systems incorporating EUD/EUP because of many reasons like unclear user requirements, lack of knowledge on new technology, changing technology requirements and unavailability of solid information. End user

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Dao, Le Trung, Ngoc Toan Bui, and Thu-Trang Thi Doan. "Corruption and foreign direct investment: Bayesian analysis approach." Journal of Governance and Regulation 13, no. 2, special issue (2024): 255–66. http://dx.doi.org/10.22495/jgrv13i2siart2.

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The paper is aimed to analyze the impact of corruption control on foreign direct investment (FDI). The dataset is collected from ten Association of Southeast Asian Nations (ASEAN) countries (including Brunei Darussalam, Indonesia, Cambodia, Lao PDR, Myanmar, Malaysia, Philippines, Singapore, Thailand, and Vietnam) during the period 2002–2021. The paper utilizes the Bayesian method for estimation in the research model, highlighting its superiority in estimating regression results as a probability distribution and enhancing the stability of estimation outcomes (McNeish, 2016). Moreover, to test

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Fang, Yang, Xiaolong Wei, and Jianjun Ma. "High-Precision DOA Estimation Based on Synthetic Aperture and Sparse Reconstruction." Sensors 23, no. 21 (2023): 8690. http://dx.doi.org/10.3390/s23218690.

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The direction-of-arrival (DOA) estimation is predominantly influenced by the antenna’s aperture size. However, space constraints on flight platforms often necessitate the use of antennas with smaller apertures and fewer array elements. This inevitably imposes limitations on the DOA estimation’s resolution and degrees of freedom. To address these precision constraints, we introduce an accurate DOA estimation method based on spatial synthetic aperture model. This method adopts a two-stage strategy to ensure both efficiency and precision in DOA estimation. Initially, the orthogonal matching pursu

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Liu, Fu Gang, and Ming Diao. "A Novel DOA Estimation Method for Wideband Signals." Advanced Materials Research 403-408 (November 2011): 2861–65. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2861.

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For direction of arrival (DOA) estimation of wideband signals, the traditional algorithms’ estimating accuracy and complexity were mainly affected by pre-estimation of DOA. By forming an angle set which elements were arithmetic progressions in the range of possible arriving angles, the algorithm used the new angle vector to replace the preliminary estimation of arriving angles. It can avoid the impact of pre-estimation bias on performance of DOA estimation and greatly reduce the amount of computation and the consumed time for DOA estimation to favor the real-time application of wideband DOA es

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Rigger, Eugen, Alexander Lutz, Kristina Shea, and Tino Stankovic. "Estimating the Impact of Design Automation: The Influence of Knowledge on Potential Estimation." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 1943–52. http://dx.doi.org/10.1017/dsi.2019.200.

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AbstractAssessing the impact of design automation on design practice prior to its implementation is difficult and subject to uncertainties. One reason for this is the designers' lack of knowledge about design automation. In this work, an industrial case study focusing on conceptual design of hydraulic circuits is conducted to assess the impact of the designers' knowledge on design automation potential estimation. In particular, the impact of demonstrating a prototypical implementation of a design automation application is investigated as a means to enhance the designers' knowledge about design

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Shmatov, Sergei, and Pavel Zarubin. "Estimation of the collision impact parameter." Journal of Physics G: Nuclear and Particle Physics 27, no. 11 (2001): 2267–74. http://dx.doi.org/10.1088/0954-3899/27/11/307.

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Proske, Dirk, Jürgen Suda, and Johannes Hübl. "Debris flow impact estimation for breakers." Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 5, no. 2 (2011): 143–55. http://dx.doi.org/10.1080/17499518.2010.516227.

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An, Qi, Zi-shu He, Hui-yong Li, and Yong-hua Li. "Phase Clustering Based Modulation Classification Algorithm for PSK Signal over Wireless Environment." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/2398464.

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Promptitude and accuracy of signals’ non-data-aided (NDA) identification is one of the key technology demands in noncooperative wireless communication network, especially in information monitoring and other electronic warfare. Based on this background, this paper proposes a new signal classifier for phase shift keying (PSK) signals. The periodicity of signal’s phase is utilized as the assorted character, with which a fractional function is constituted for phase clustering. Classification and the modulation order of intercepted signals can be achieved through its Fast Fourier Transform (FFT) of

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SUNIL KUMAR SUVVARI, DR. ROHINI SAWALKAR, and DR. VISHWANATH KARAD. "The Effect of Team Size and Dynamics on Agile Estimation." Innovative Research Thoughts 9, no. 5 (2023): 178–87. http://dx.doi.org/10.36676/irt.v9.i5.1478.

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This paper presents the impact of team size and dynamics on agile estimation accuracy and strategies for improving estimation in diversified teams. We employed a mixed-method approach with online surveys, interviews, and case studies. The data received and analyzed in this research came from 150 agile teams representing different industries. Our results show that strong interdependency exists between team size and the dispersion of estimations. The best estimation accuracy was when the team had 5-9 members. Team dynamics, particularly cohesion and psychological safety, emerged as important in

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Abhiram, Reddy Anireddy. "The Influence of Project Size on Cost Estimation Accuracy: How Scale Affects the Estimating Process." Journal of Scientific and Engineering Research 10, no. 10 (2023): 190–94. https://doi.org/10.5281/zenodo.14273490.

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Accurate cost estimation is an important aspect in constructing project, because it has direct impacts on budgeting, resource allocation and project's success. Undoubtedly, the size of a project has the most impact on the estimating process, with larger projects often having challenges that are not present in smaller projects that affect cost accuracy. In this paper we examine how the project size correlates with the accuracy of cost estimation, and the effect that project complexity, market condition, and resource availability have on each other. Such analysis of the effects of scale by const

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Elkasrawi, O. A., A. M. Abdelaziz, H. E. AbouBakr, and M. A. Aboelazm. "CRB-based comparative study of array signal processing direction finding methods supported with SDR platform implementation." Journal of Physics: Conference Series 2616, no. 1 (2023): 012039. http://dx.doi.org/10.1088/1742-6596/2616/1/012039.

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Abstract Radio Direction-Finding (DF) is an extremely important process in numerous commercial and military applications. Array signal processing-based DF methods have been developed to improve estimation performance in recent applications that require higher resolution and accuracy. Practically, angle of arrival (AOA) estimation is challenging due to various intrinsic and extrinsic parameters that affect the results. Therefore, clarifying these parameters and researching their impact on various DF methods are considered important research topics. The Cramer-Rao Bound (CRB) for estimating AOA

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Masuda, Shuhei, Nozomi Sugiura, Satoshi Osafune, and Toshimasa Doi. "Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/975618.

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We investigated the impact of assimilating a mapped dataset of subsurface ocean currents into an ocean state estimation. We carried out two global ocean state estimations from 2000 to 2007 using the K7 four-dimensional variational data synthesis system, one of which included an additional map of climatological geostrophic currents estimated from the global set of Argo floats. We assessed the representativeness of the volume transport in the two exercises. The assimilation of Argo ocean current data at only one level, 1000 dbar depth, had subtle impacts on the estimated volume transports, which

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Zulkifli, Raudhah, Nazim Aimran, Sayang Mohd Deni, and Fatin Najihah Badarisam. "A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling." International Journal of Data and Network Science 6, no. 2 (2022): 391–400. http://dx.doi.org/10.5267/j.ijdns.2021.12.015.

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Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator. The ML estimator is typically used when fitting models with normally distributed data. The growth of partial least squares path modeling (PLS-PM), including consistent partial least squares (PLSc), has also been noticed by researchers in the SEM fields. The PLSc has elevated interest in the scholastic setting in measuring the performance of various estimation methods in structural equat

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Xu, Bingyu, Shuquan Wang, Liping Zhao, and Long Zhang. "Impact-Rebound Momentum Excitation Based Inertial Parameters and State Estimation of Defunct Space Object." Aerospace 10, no. 1 (2023): 38. http://dx.doi.org/10.3390/aerospace10010038.

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Obtaining the inertia tensors of defunct space objects is essential in on-orbit missions. When the inertia tensor of the space object is non-diagonal, the problem becomes challenging. In this case, the system does not have enough information to estimate the six independent parameters of the inertia tensor. In this paper, the problem of estimating the inertial parameters of a defunct space object with non-diagonal inertia tensor is studied. An excitation method of ejecting an impact ball from the tracking spacecraft to the object is proposed to estimate the complete inertial parameters of the o

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Shang, Lanyu, Bozhang Chen, Shiwei Liu, et al. "SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 27 (2025): 28359–67. https://doi.org/10.1609/aaai.v39i27.35057.

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Drought has become a critical global threat with significant societal impact. Existing drought monitoring solutions primarily focus on assessing drought severity using quantitative measurements, overlooking the diverse societal impact of drought from human-centric perspectives. Motivated by the collective intelligence on social media and the computational power of AI, this paper studies a novel problem of socially informed AI-driven drought estimation that aims to leverage social and news media information to jointly estimate drought severity and its societal impact. Two technical challenges e

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Chen, Runbo, Xinchuang Wang, Xuejie Liu, and Shunzhong Wang. "Optimizing GEDI Canopy Height Estimation and Analyzing Error Impact Factors Under Highly Complex Terrain and High-Density Vegetation Conditions." Forests 15, no. 11 (2024): 2024. http://dx.doi.org/10.3390/f15112024.

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The Global Ecosystem Dynamics Investigation (GEDI) system provides essential data for estimating forest canopy height on a global scale. However, factors such as complex topography and dense canopy can significantly reduce the accuracy of GEDI canopy height estimations. We selected the South Taihang region of Henan Province, China, as our study area and proposed an optimization framework to improve GEDI canopy height estimation accuracy. This framework includes correcting geolocation errors in GEDI footprints, screening and analyzing features that affect estimation errors, and combining two re

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Belyanova, E., and S. Nikolaenko. "Impact of Corruption on Business Development: Empirical Estimates." Voprosy Ekonomiki, no. 9 (September 20, 2013): 91–105. http://dx.doi.org/10.32609/0042-8736-2013-9-91-105.

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The paper considers the relationship of corruption and domestic business environment. The authors propose a method of quantitative estimation of the impact of corruption on the business climate through the use of international ratings. The quantitative estimations obtained allow to construct an alternative rating of business environment, free of the influence of corruption, and estimate, with its help, the comparative advantages of Russia as of late 2012. In addition the paper determines the limits of possible improvement of the business climate in Russia on the assumption that the effectivene

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Schultz, Don. "Market brand equity: lost in terminology and techniques?" Journal of Product & Brand Management 25, no. 6 (2016): 507–15. http://dx.doi.org/10.1108/jpbm-07-2016-1260.

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Purpose The purpose of this paper is to review, update and suggest new approaches to estimate/determine market brand equity (MBE) impact based on additional brand investments in existing brands. The approach can be used by senior managers, replacing traditional return-on-investment (ROI) historical approaches. The paper focuses on the brand owner’s values/returns rather than those of the customer/consumer. Design/methodology/approach A conceptual approach using a theoretical methodology based on a literature review and informed analysis of how a new type of MBE estimation/calculation methodolo

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Nagaraju, Dr V. Siva, and N. Ramya Sri. "IMAGE ANALYSIS FRAMEWORK FOR CARBON FOOTPRINT ESTIMATION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem39945.

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This study has been undertaken to develop an image analysis framework for estimating the carbon footprint of consumer products using advanced computational techniques. The framework leverages image recognition models alongside a dataset of product-specific carbon emission metrics to provide accurate assessments. Streamlit serves as the primary interface for user interaction, while Python, HTML, and CSS facilitate backend computation and frontend design. The analytical framework integrates data preprocessing, feature extraction, and environmental impact modelling to ensure robust analysis. Publ

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Park, Soojin, and Gregory J. Palardy. "Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions." Journal of Educational and Behavioral Statistics 45, no. 4 (2020): 475–506. http://dx.doi.org/10.3102/1076998620908599.

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Estimating the effects of randomized experiments and, by extension, their mediating mechanisms, is often complicated by treatment noncompliance. Two estimation methods for causal mediation in the presence of noncompliance have recently been proposed, the instrumental variable method (IV-mediate) and maximum likelihood method (ML-mediate). However, little research has examined their performance when certain assumptions are violated and under varying data conditions. This article addresses that gap in the research and compares the performance of the two methods. The results show that the distrib

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AUSTERLITZ, FRÉDÉRIC, and PETER E. SMOUSE. "Two-generation analysis of pollen flow across a landscape. III. Impact of adult population structure." Genetical Research 78, no. 3 (2001): 271–80. http://dx.doi.org/10.1017/s0016672301005341.

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The rate and distance of instantaneous pollen flow in a population are parameters of considerable current interest for plant population geneticists and conservation biologists. We have recently developed an estimator (Φft) of differentiation between the inferred pollen clouds that fertilize several females, sampled within a single population. We have shown that there is a simple relation between Φft and the average pollen dispersal distance (δ) for the case of a population with no geographic structure. Though forest trees usually show considerable pollen flow, assuming an absence of spatially

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Erekat, Baslan. "The Impact of Digital Entrepreneurship on Digital Leadership to Improve the Project Management of Solar Projects." Arab Journal for Scientific Publishing 7, no. 67 (2024): 38–57. http://dx.doi.org/10.36571/ajsp673.

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The current study aimed to research the impact of digital entrepreneurship on digital leadership to improve the project management of solar projects, The study relied on the descriptive approach. The study population consisted of all project managers in solar energy companies in Jordan, pproximately 2,000 project managers in solar companies in Jordan. the study sample suggestion based on Laplace's equation is to randomly select 385 project managers from the study population. The results of the study shows that the mean values of the study sample's estimations were high for the independent vari

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J, Abubakar, and Zubairu Mohammad. "An Assessment Of The Impact Of Dem Interpolation Technique, Resolution, And Terrain Type On The Extraction Of Drainage Network." Global Journal of Pure and Applied Sciences 28, no. 2 (2022): 141–51. http://dx.doi.org/10.4314/gjpas.v28i2.3.

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This research used points extracted from high-resolution DEMs (1m) to investigate the impact of resolution, interpolation method and topography on the accuracy of drainage network extraction. The investigation was conducted by evaluating the accuracy of the estimations of streams length, streams number, drainage density, and the Longitudinal Root Mean Square Error (LRMSE) of the extracted drainage networks from different DEMs interpolated using Topo to raster, Natural Neighbor (NN), kriging and IDW interpolation methods at 5, 10, 15 and 20m resolutions over moderate, steep, and gentle slope te

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Decker, Anna L., Alan Hubbard, Catherine M. Crespi, Edmund Y. W. Seto, and May C. Wang. "Semiparametric Estimation of the Impacts of Longitudinal Interventions on Adolescent Obesity using Targeted Maximum-Likelihood: Accessible Estimation with the ltmle Package." Journal of Causal Inference 2, no. 1 (2014): 95–108. http://dx.doi.org/10.1515/jci-2013-0025.

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AbstractWhile child and adolescent obesity is a serious public health concern, few studies have utilized parameters based on the causal inference literature to examine the potential impacts of early intervention. The purpose of this analysis was to estimate the causal effects of early interventions to improve physical activity and diet during adolescence on body mass index (BMI), a measure of adiposity, using improved techniques. The most widespread statistical method in studies of child and adolescent obesity is multivariable regression, with the parameter of interest being the coefficient on

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Wang, Jiesheng, Lin Li, Wei Wei, Yujia Zhang, and Xin Yang. "Dynamic Uncertainty Estimation for Offline Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 20 (2025): 21126–34. https://doi.org/10.1609/aaai.v39i20.35410.

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Offline reinforcement learning confronts the distributional shift challenge, a consequence of learning policy from static datasets. Current methods primarily handle this issue by aligning the learned policy with the behavior policy or conservatively estimating Q-values for out-of-distribution (OOD) actions. However, these approaches can lead to overly pessimistic estimation of Q-values of the OOD actions in unfamiliar situations, resulting in a suboptimal policy. To address this, we propose a new method, Dynamic Uncertainty estimation for Offline Reinforcement Learning. This method introduces

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Eleje, S. E., C. L. Anioke, and C. I. Ani. "Advanced mimo channel estimation techniques: A comprehensive review of methods, algorithms, and performance optimization." Nigerian Journal of Technology 44, no. 1 (2025): 93–104. https://doi.org/10.4314/njt.v44i1.11.

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The promising characteristic features of Multiple-Input Multiple-Output (MIMO) systems rely on the knowledge of the channel state information (CSI) for coherent signal data detection. The determination of channel state information is achieved using various conventional estimation techniques such as pilot-aided, blind, and semi-blind channel estimation techniques. Obtaining accurate channel state information in MIMO systems is significant tasks upon which system performance depends. This paper presents a comprehensive review of various MIMO channel estimation techniques presented in literature

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Hönekopp, Johannes, and Audrey Helen Linden. "Heterogeneity estimates in a biased world." PLOS ONE 17, no. 2 (2022): e0262809. http://dx.doi.org/10.1371/journal.pone.0262809.

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Meta-analyses typically quantify heterogeneity of results, thus providing information about the consistency of the investigated effect across studies. Numerous heterogeneity estimators have been devised. Past evaluations of their performance typically presumed lack of bias in the set of studies being meta-analysed, which is often unrealistic. The present study used computer simulations to evaluate five heterogeneity estimators under a range of research conditions broadly representative of meta-analyses in psychology, with the aim to assess the impact of biases in sets of primary studies on est

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Quoreshi, A. M. M. Shahiduzzaman, Reaz Uddin, and Naushad Mamode Khan. "Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data—Under Conditional Heteroskedasticity Framework." Journal of Risk and Financial Management 12, no. 2 (2019): 74. http://dx.doi.org/10.3390/jrfm12020074.

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This paper introduces Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data of unknown underlying distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that the QML estimator performs as well as CLS and FGLS in terms of eliminating serial correlations, but the estimator can be sensitive to start value. Hence, two-stage QML has been suggested. In empirical estimation on two stock transaction data for Ericsson and AstraZeneca, the 2SQML turns out relatively more efficient than CLS and FGLS. The empirical

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Camurri, Marco, Maurice Fallon, Stephane Bazeille, et al. "Probabilistic Contact Estimation and Impact Detection for State Estimation of Quadruped Robots." IEEE Robotics and Automation Letters 2, no. 2 (2017): 1023–30. http://dx.doi.org/10.1109/lra.2017.2652491.

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Ade, Apolline, Natalie Hallas, Lydie Vancauwenberghe, et al. "PP97 How Health Technology Agencies Estimate Target Population Size For Medical Devices: The Example Of Spinal Cord Stimulation." International Journal of Technology Assessment in Health Care 39, S1 (2023): S78. http://dx.doi.org/10.1017/s0266462323002222.

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IntroductionSpinal cord stimulation (SCS) is an effective and safe option for patients with refractory neuropathic pain, with positive health technology assessment (HTA) recommendations across Western Europe, yet SCS uptake remains low. Estimating target patient populations within HTAs may impact upon medical device uptake, pricing and access. However, there is a dearth of information on how this is typically conducted. This study aimed to compare the approaches of Western Europe HTA agencies for estimating the target population for SCS.MethodsA survey was conducted among members of the Health

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Nwankwo, L. C., and U. Ajator. "Analysis of factors affecting Efficient Practices and Techniques for Allocating Provisional Sums in Construction Management." International Journal of Real Estate 1, no. 1 (2025): 148 —. https://doi.org/10.5281/zenodo.14981462.

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Cost estimation for electrical services in construction projects remains a critical challenge, particularly in Nigeria, where cost uncertainties in mechanical and electrical (M&E) services lead to budget overruns and project delays. The estimation of provisional sums for electrical installations is often imprecise due to incomplete design specifications, fluctuating market prices, and the absence of standardized estimation frameworks. These limitations impact financial planning, contractor-client relationships, and overall project efficiency. This study aims to analyse effective cost estim

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MCHANI, SIBULELE. "impact of regional trade agreements on bilateral trade flows: A Systemic Literature Review." Competitio 21, no. 1-2 (2022): 119–33. http://dx.doi.org/10.21845/comp/2022/1-2/3.

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This paper reviews the theoretical and empirical literature on the impact of regional trade agreements on trade. The empirical literature is arranged based on the econometricmethods used to estimate the gravity model. Advantages and disadvantages of each method were highlighted. Papers covering RTAs from Africa, Asia, the Americas, and Europe were reviewed to gain a more representative understanding. The covered empirical literature suggests that the Poisson Pseudo Maximum Likelihood (PPML) estimator is more reliable than OLS in estimating gravity models, as it can deal with zero trade flows.

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Bečejac, Vladimir, Miloš Đorđević, Nemanja Jelenić, Mihajlo Marković, and Miloš Mosurović. "State Estimation in the Power System with Phasor Measurement Units and Malicious Attacks through Injection of Inaccurate Measurements and Its Detection." Energija, ekonomija, ekologija XXVI, no. 1 (2024): 42–50. http://dx.doi.org/10.46793/eee24-1.42b.

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This manuscript explores the significance of state estimation methods in electric power systems, with a particular focus on the role of Phasor Measurement Units. In the manuscript is presented the basic principles and advantages of state estimators in the absence of PMU measurements, followed by an analysis of how PMU measurements significantly enhance the accuracy of state estimations. Through a detailed review, we highlight the key characteristics of PMUs and how their synchronized data contributes to improved state estimation quality. The paper investigates the security aspects of state est

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