Results 11 to 20 of about 74,320 (358)
Estimation of distribution overlap of urn models. [PDF]
PLoS ONE, 2012 A classical problem in statistics is estimating the expected coverage of a sample, which has had applications in gene expression, microbial ecology, optimization, and even numismatics.
Jerrad Hampton, Manuel E Lladser
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Minimum variance unbiased estimation based on bootstrap iterations [PDF]
Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001., 2001 Practical computation of the minimum variance unbiased estimator (MVUE) is often a difficult, if not impossible, task, even though general statistical theory assures its existence under regularity conditions. We propose a new approach, based on infinitely many iterations of bootstrap bias correction, to calculating the MVUE approximately.
Lee, SMS
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Best Quadratic unbiased Estimator for Variance Component of One-Way Repeated Measurement Model [PDF]
, 2018 The studies of analysis of variance components is one of the important topics in mathematical statistics for this subject of wide application. In this paper given best quadratic unbiased estimator of variance components for balanced data for linear one ...
A. S. Al-Mouel, Jasim Mohammed Ali
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On Minimum Variance Unbiased Estimator of the Parameter in S(d) Distribution [PDF]
Journal of Advanced Statistics, 2016 G. Nanjundan, Reshma Suresh
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Introduction to Reliability for Conditional Stress-Strength Parameter [PDF]
Journal of Sciences, Islamic Republic of Iran, 2021 In this article, a new proper and favorite stress-strength parameter has been introduced. The maximum likelihood and uniformly minimum variance unbiased estimators of the purposed parameter have been derived for the Exponential distribution.
Mohammad Mehdi Saber, Kavoos Khorshidian
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F1000Research, 2021 Background: In the linear regression model, the ordinary least square (OLS) estimator performance drops when multicollinearity is present. According to the Gauss-Markov theorem, the estimator remains unbiased when there is multicollinearity, but the ...
BENEDICTA Aladeitan +4 more
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Structural Control & Health Monitoring, 2020 Constraint minimum variance unbiased estimator is improvised for simultaneous input and parameter estimation of the Bouc–Wen hysteretic system of a full‐scale bridge pier.
Pranjal Tamuly +2 more
semanticscholar +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
A study of methods for estimating in the exponentiated Gumbel distribution [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 The exponentiated Gumbel model has been shown to be useful in climate modeling including global warming problem, flood frequency analysis, offshore modeling, rainfall modeling and wind speed modeling.
K. Fathi +3 more
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Measurement + Control, 2022 Due to the existence of system noise and unknown state variables, it is difficult to realize unbiased estimation with minimum variance for the parameter estimation of canonical state space model. This paper presents a new least squares estimator based on
Longlong Liu +5 more
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