Results 1 to 10 of about 21,802,969 (303)
Estimation of Vehicle Dynamic Parameters Based on the Two-Stage Estimation Method [PDF]
Sensors, 2021 Vehicle dynamic parameters are of vital importance to establish feasible vehicle models which are used to provide active controls and automated driving control. However, most vehicle dynamics parameters are difficult to obtain directly.
Wenfei Li +5 more
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Habitat Suitability Estimation Using a Two-Stage Ensemble Approach
Remote Sensing, 2020 Biodiversity conservation is important for the protection of ecosystems. One key task for sustainable biodiversity conservation is to effectively preserve species’ habitats.
Jehyeok Rew +3 more
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Two Stage Particle Filter for Nonlinear Bayesian Estimation
IEEE Access, 2018 The past several decades have witnessed the successful application of sequential Monte Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in solving different kinds of nonlinear Bayesian estimation problems ...
Fasheng Wang +3 more
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Two-stage and modified two-stage estimation in threshold first-order autoregressive process [PDF]
Journal of Mahani Mathematical Research, 2023 In this paper, we discuss the two-stage and the modified two-stage procedures for the estimation of the threshold autoregressive parameter in a first-order threshold autoregressive model (${\rm TAR(1)}$).
soudabe Sajjadipanah +2 more
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A Registration Algorithm for Astronomical Images Based on Geometric Constraints and Homography
Remote Sensing, 2023 The registration of astronomical images, is one of the key technologies to improve the detection accuracy of small and weak targets during astronomical image-based observation.
Bin Lin +5 more
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Power Families of Bivariate Proportional Hazard Models
Mathematics, 2022 In this paper, we propose a general class of bivariate proportional hazard distributions, which is based on the family of asymmetric proportional hazard distributions and the bivariate Pareto copula.
Guillermo Martínez-Flórez +2 more
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Two-stage Huber estimation [PDF]
Journal of Statistical Planning and Inference, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christophe Muller, Tae-Hwan Kim
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An Exponentiated Multivariate Extension for the Birnbaum-Saunders Log-Linear Model
Mathematics, 2022 In this work, a bivariate extension of the univariate exponentiated sinh-normal distribution is proposed. The properties of the new distribution, which is called the bivariate exponentiated sinh-normal distribution, are studied in detail, and the maximum
Guillermo Martínez-Flórez +2 more
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TWO-STAGE DEA ESTIMATION OF TECHNICAL EFFICIENCY: COMPARISON OF DIFFERENT ESTIMATORS [PDF]
Review of Agricultural and Applied Economics, 2022 Research background: The challenge of resource limitations requires that farmers make judicious use of resources to maximize output and profit levels. This can be achieved through assessment of resource-use efficiency of farmers by estimating the level ...
Benjamin Tetteh ANANG
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Conditional Estimation in Two-Stage Adaptive Designs [PDF]
Biometrics, 2017 Summary We consider conditional estimation in two-stage sample size adjustable designs and the consequent bias. More specifically, we consider a design which permits raising the sample size when interim results look rather promising, and which retains the originally planned sample size when results look very promising.
Broberg, Per, Miller, Frank
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