Results 1 to 10 of about 6,033 (165)
Prediction of Brain Connectivity Map in Resting-State fMRI Data Using Shrinkage Estimator [PDF]
Basic and Clinical Neuroscience, 2019 Introduction: In recent years, brain functional connectivity studies are extended using the advanced statistical methods. Functional connectivity is identified by synchronous activation in a spatially distinct region of the brain in resting-state ...
Atiye Nazari +5 more
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Open Mathematics, 2022 One of the most common challenges in multivariate statistical analysis is estimating the mean parameters. A well-known approach of estimating the mean parameters is the maximum likelihood estimator (MLE).
Abdelkader Benkhaled +2 more
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On shrinkage estimators improving the positive part of James-Stein estimator
Demonstratio Mathematica, 2021 In this work, we study the estimation of the multivariate normal mean by different classes of shrinkage estimators. The risk associated with the quadratic loss function is used to compare two estimators. We start by considering a class of estimators that
Abdenour Hamdaoui
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On Restricted Shrinkage Jackknife Biased Estimator for Restricted Linear Regression Model [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2023 In restricted linear regression model, more methods proposed to address the Multicollinearity problem and the high variance. For example, shrinkage biased estimation and optimization (Lagrange function).
Ahmed Mohammed, Feras Algareri
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Estimation of a Parallel Stress-strength Model Based on the Inverse Kumaraswamy Distribution
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 The reliability of the stress-strength model attracted many statisticians for several years owing to its applicability in different and diverse parts such as engineering, quality control, and economics. In this paper, the system reliability estimation in
Bayda A. Kalaf +3 more
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SHRINKAGE ESTIMATOR FOR A SINGLE OBSERVATION IN N(Θ,V) PROBLEM WITH UNKNOWN VARIANCE [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 this search, Shrinkage Estimator has been studied for a Single Observation in N(θ,V) problem when variance is unknown. We proved that there is a relationship between Shrinkage Estimator and Normal Bayes Estimator.
AMER F. NASSAR
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Nonparametric estimation of median survival times with applications to multi-site or multi-center studies. [PDF]
PLoS ONE, 2018 We propose a nonparametric shrinkage estimator for the median survival times from several independent samples of right-censored data, which combines the samples and hypothesis information to improve the efficiency.
Mohammad H Rahbar +5 more
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Shrinkage Estimators for Covariance Matrices [PDF]
Biometrics, 2001 Estimation of covariance matrices in small samples has been studied by many authors. Standard estimators, like the unstructured maximum likelihood estimator (ML) or restricted maximum likelihood (REML) estimator, can be very unstable with the smallest estimated eigenvalues being too small and the largest too big.
Daniels, Michael J., Kass, Robert E.
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Shrinkage Estimation of Linear Regression Models with GARCH Errors [PDF]
Journal of Statistical Theory and Applications (JSTA), 2016 This paper introduces shrinkage estimators for the parameter vector of a linear regression model with con- ditionally heteroscedastic errors such as the class of generalized autoregressive conditional heteroscedastic (GARCH) errors when some of the ...
S. Hossain, M. Ghahramani
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PROPOSED SHRINKAGE FUNCTION FOR A SINGLE OBSERVATION IN N(Θ,1) PROBLEM [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 In this search, Shrinkage Function has been suggested for a Single Observation in N(θ,1) problem. We proved that there is a relationship between Shrinkage Estimator and Normal Bayes Estimator. properties of Proposed Estimator, optimal case, properties of
AMER FADHEL NASSAR
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