Results 11 to 20 of about 10,692,124 (255)
Parameter Estimation of Ship Manoeuvring Equations [PDF]
Model tests performed at the Norwegian Hydrodynamic Laboratories (NHL), to identify ship manoeuvring equations, are described. Parameter estimation techniques are used to determine the mathematical model.
Tore Flobakk
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Parameter estimation through ignorance [PDF]
17 pages, 5 figures, Keywords: parameter estimation, Ignorance, Implied Ignorance, Minimum Ignorance, nonlinear dynamical system, skill score, dynamically consistent ensemble, model inadequacy, least squares, information deficit, potential predictability ...
Du, Hailiang, Smith, Leonard A.
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Adaptive Optimal Parameter Estimation and Control of Servo Mechanisms: Theory and Experiments
Most of classical adaptive laws used in adaptive control have been developed based on the gradient descent algorithm to minimize the control error.
Shubo Wang, J. Na, Yashan Xing
semanticscholar +1 more source
For the average state of the normal distribution parameter estimation, regular normal distribution parameter gives an estimation, but the carbonation depth of influence factors is more of a parameter estimation, shooting low deficiencies; therefore ...
Min Cai, Jun Yang
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Accurate parameter estimation is essential for modeling the statistical characteristics of ocean clutter. Common parameter estimation methods in generalized Pareto distribution models have limitations, such as restricted parameter ranges, lack of closed ...
Bin Yang, Qing Li
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A New Numerical Algorithm of Three Parameter Generalized Extreme Value Distribution of Wind Speed [PDF]
Maximum likelihood estimation method is used to solve the problem of parameter estimation of three-parameter generalized extreme value distribution. Based on the theory of order reducing,a new numerical algorithm is presented to resolve the problem of ...
Tao Ye
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Abstract This chapter focuses on parameter estimation. Economic models that are used to measure vaccine value are only as strong as the data used in the model. Health economists depend on the availability of data from a number of different reliable sources in order to populate a model with parameters, including clinical, epidemiological,
Emmanuel F. Drabo, David W. Dowdy
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The effect on cosmological parameter estimation of a parameter dependent covariance matrix
Cosmological large-scale structure analyses based on two-point correlation functions often assume a Gaussian likelihood function with a fixed covariance matrix. We study the impact on cosmological parameter estimation of ignoring the parameter dependence
Darsh Kodwani +2 more
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Parameter Estimation of Polynomial-Phase Signals
Introduction. Polynomial phase signals frequently appear in radar, sonar, communication and technical applications. Therefore, estimation of polynomial phase coefficients of such signals is an urgent problem in signal theory. Currently, a large number of
A. A. Monakov
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Incompatibility in quantum parameter estimation
In this paper we introduce a measure of genuine quantum incompatibility in the estimation task of multiple parameters, that has a geometric character and is backed by a clear operational interpretation. This measure is then applied to some simple systems
Federico Belliardo, Vittorio Giovannetti
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