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Communications, 2012 In this paper we study the performance of the least square method and the weighted least square method for estimating the Weibull distribution parameters. In engineering practice these methods are commonly used due to their simplicity.
Ivana Pobocikova, Zuzana Sedliackova
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New Definition of Potential Spicity by the Least Square Method
Journal of Geophysical Research: Oceans, 2018 A differentiable function whose contours are orthogonal to potential density (σ) contours does not exist. However, such a function, called potential spicity (π), can be defined in the least square sense; these two functions form a practically orthogonal ...
Lu-Sha Yu, Shengqi Zhou, Rui Huang
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Identification effect of least square fitting method in archives management [PDF]
Heliyon, 2023 Archives management plays an important role in the current information age. Solving the problem of identifying and classifying archives is essential for promoting the development of archives management.
Caichang Ding +5 more
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Critical analysis for nonlinear oscillations by least square HPM [PDF]
Scientific ReportsIn this study, a novel adapted homotopy perturbation method (HPM) is used to treat the nonlinear phenomena of free vibration in a system with one degree of freedom. This adaptation involves the integration of HPM with a least-squares optimizer, resulting
Muhammad Rafiq +3 more
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Electrothermal Actuator Performance Analysis via the Moving Least Square Method [PDF]
MicromachinesThis paper presents a case study demonstrating the use of the moving least square method (MLS) for modeling the mechanical response of an electrothermal microactuator.
Yuanhu Gu +4 more
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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 [PDF]
International Journal of Data and Network Science, 2022 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.
Raudhah Zulkifli +3 more
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MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [PDF]
IEEE International Conference on Robotics and Automation, 2021 The rapid development of autonomous driving and mobile mapping calls for off-the-shelf LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various complex scenarios.
Yue Pan +4 more
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Knowledge Management & E-Learning: An International Journal, 2022 Partial least square structural equation modelling (PLS-SEM) has been used as a popular research method in various disciplines, including knowledge management (KM).
Muhammad Ashraf Fauzi
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Do high performance work systems enhance business performance? Examining the mediating influence of total quality management [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 This paper analyses the effect of High-Performance Work Systems (HPWS) and Total Quality Management (TQM) on business performance. An extensive literature review made it possible to establish four hypotheses, along with a comprehensive path model of ...
Emilio Ruiz +3 more
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