Results 21 to 30 of about 409,081 (168)
Parameter Estimation in Stable Law
For general stable distribution, cumulant function based parameter estimators are proposed. Extensive simulation experiments are carried out to validate the effectiveness of the estimates over the entire parameter space.
Annika Krutto
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Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
Online parameter estimation of permanent magnet synchronous machines is critical for improving their control performance and operational reliability. This paper provides an overview of the recent achievements of online parameter estimation of PMSMs with ...
Z. Q. Zhu, Dawei Liang, Kan Liu
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Parameter Estimation Strategies in Thermodynamics
Many thermodynamic models used in practice are at least partially empirical and thus require the determination of certain parameters using experimental data.
Johannes Höller +9 more
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A Clutter Parameter Estimation Method Based on Origin Moment Derivation
Parameter estimation is significant to prediction and estimation in the field of radar clutter characteristics. Therefore, it is necessary to study the problem of parameter estimation.
Liru Yang +4 more
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Estimating the Hurst Parameter [PDF]
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Berzin, Corinne, León, José R.
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Estimating the Parameters of a Convolution
Summary Parametric estimation problems are considered when one observes a random variable which is the sum of two independent non-identically distributed random variables. Some basic identifiability theorems are given which suggest the method of moments as a general method for attacking such problems, particularly when one of the summand
Sclove, S. L., van Ryzin, J.
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Decoupled Parameter Estimation Methods for Hammerstein Systems by Using Filtering Technique
The implementation of parameter estimation of Hammerstein systems is much difficult due to the existing parameter products from the nonlinear block and the linear block. This paper directly decomposes the parameter coupling between the nonlinear part and
Dongqing Wang, Zhen Zhang, Bingqiang Xue
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The three-parameter Logistic model (3PLM) and the four-parameter Logistic model (4PLM) have been proposed to reduce biases in cases of response disturbances, including random guessing and carelessness. However, they could also influence the examinees who
Xiaozhu Jian, Dai Buyun, Deng Yuanping
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On Estimating Monotone Parameters
Suppose for each $i = 1,2, \cdots, k$ the random variable $X_i$ has density function $f(x; \theta_i)$ where each of the parameters $\theta_1, \theta_2, \cdots, \theta_k$ is known to belong to some connected set $\Theta$ of real numbers. Independent random samples are taken from the distributions of $X_1, X_2, \cdots, X_k$ and we wish to find estimates $
Robertson, Tim, Waltman, Paul
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Transformer-Based Parameter Estimation in Statistics
Parameter estimation is one of the most important tasks in statistics, and is key to helping people understand the distribution behind a sample of observations.
Xiaoxin Yin, David S. Yin
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