Results 11 to 20 of about 1,961,829 (179)
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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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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Cosmological Parameter Estimation: Method [PDF]
CMB anisotropy data could put powerful constraints on theories of the evolution of our Universe. Using the observations of the large number of CMB experiments, many studies have put constraints on cosmological parameters assuming different frameworks ...
Abroe +36 more
core +3 more sources
Modulation parameter estimation of LFM interference for direct sequence spread spectrum communication system in alpha-stable noise [PDF]
The linear frequency modulation (LFM) interference is one of the typical broadband interferences in direct sequence spread spectrum (DSSS) communication system.
Chen, Yunfei +5 more
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Unifying parameter estimation and the Deutsch-Jozsa algorithm for continuous variables [PDF]
We reveal a close relationship between quantum metrology and the Deutsch-Jozsa algorithm on continuous-variable quantum systems. We develop a general procedure, characterized by two parameters, that unifies parameter estimation and the Deutsch-Jozsa ...
A. K. Pati +5 more
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The ”Akshaya distribution” is a model one-parameter continuous distribution that has been proposed by [15] for modelling lifetime data from biological research and engineering.
Ahlam. H. Tolba
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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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Parameter estimation plays an important role in reducing model error and thus is of great significance to improve the simulation and prediction capabilities of the model.
Yanqiu Gao +3 more
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Optomechanical parameter estimation
We propose a statistical framework for the problem of parameter estimation from a noisy optomechanical system. The Cramér–Rao lower bound on the estimation errors in the long-time limit is derived and compared with the errors of radiometer and ...
Shan Zheng Ang +3 more
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Parameter estimation for nonlinear sandwich system using instantaneous performance principle.
The vast majority of reports mainly focus on the steady-state performance of parameter estimation. Few findings are reported for the instantaneous performance of parameter estimation because the instantaneous performance is difficult to quantify by using
Zhengbin Li, Lijun Ma, Yongqiang Wang
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