H Karamikabir, M Afshari, F Lak - Journal of Applied Statistics, 2021 - Taylor & Francis
In this paper, the problem of estimating the mean vector under non-negative constraints on location vector of the multivariate normal distribution is investigated. The value of the …
S Wang, T Bhatt - Journal of Motor Behavior, 2023 - Taylor & Francis
This study aimed to identify the kinematic measures determining balance outcome following an over-ground trip perturbation. 117 healthy older adults who experienced laboratory …
In this study, the stress-strength model 𝑅= 𝑃 (𝑌< 𝑋< 𝑍) is discussed as an important parts of reliability system by assuming that the random variables follow Invers Rayleigh Distribution …
In this paper, we introduce a new shrinkage soft-wavelet threshold estimator based on Stein's unbiased risk estimate (SURE) for elliptical and spherical distributions under …
SH Raheem, HK Mansor, BA Kalaf… - 2019 First International …, 2019 - ieeexplore.ieee.org
In this study, we consider the system reliability of parallel stress-strength model as an important part of system reliability by assuming the stress and the strengths random …
Z Batvandi, M Afshari, H Karamikabir - … in Statistics-Simulation and …, 2025 - Taylor & Francis
The estimation of mean vector parameters is very important in elliptical and spherically models. Among different methods, the Bayesian and shrinkage estimation are interesting. In …
H Karamikabir, M Mohammadshahi… - Japanese Journal of …, 2024 - Springer
Location parameter estimation is an important problem in the point estimation for multivariate distribution. In this paper, for an elliptical family of distributions with unknown …
In this paper, we analyze the risk ratios of several shrinkage estimators using a balanced loss function. The James–Stein estimator is one of a group of shrinkage estimators that has …
A Benkhaled, M Terbeche, A Hamdaoui - arXiv preprint arXiv:2107.14021, 2021 - arxiv.org
In this work, the estimation of the multivariate normal mean by different classes of shrinkage estimators is investigated. The risk associated with the balanced loss function is used to …