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In this study, we present the preliminary test, Stein-type and positive part Liu estimators in the linear models when the parameter vector $\boldsymbol{\beta}$ is partitioned into two parts, namely, the main effects $\boldsymbol{\beta}_1$ and the nui
Externí odkaz:
http://arxiv.org/abs/1709.01131
Publikováno v:
International Statistical Review, 2020
In this study, we propose shrinkage methods based on {\it generalized ridge regression} (GRR) estimation which is suitable for both multicollinearity and high dimensional problems with small number of samples (large $p$, small $n$). Also, it is obtai
Externí odkaz:
http://arxiv.org/abs/1707.02331
Publikováno v:
Entropy, Vol 25, Iss 9, p 1307 (2023)
This paper introduces a modified local linear estimator (LLR) for partially linear additive models (PLAM) when the response variable is subject to random right-censoring. In the case of modeling right-censored data, PLAM offers a more flexible and re
Externí odkaz:
https://doaj.org/article/8e7477c803fb4c86ba1bb09127bfc3ca
Publikováno v:
Japanese Journal of Statistics & Data Science; Jun2024, Vol. 7 Issue 1, p507-535, 29p
Publikováno v:
E3S Web of Conferences, Vol 409, p 02009 (2023)
In this paper, we improved the efficiency of parameter estimation in partially linear models, where subspace information is available. We proposed linear shrinkage and shrinkage pretest estimation strategies. The asymptotic distributional risk of the
Externí odkaz:
https://doaj.org/article/b6a6a56f571a4911b769697ebe8e745f
Autor:
Raheem, SM Enayetur, Ahmed, S. Ejaz
Consider a problem of predicting a response variable using a set of covariates in a linear regression model. If it is \emph{a priori} known or suspected that a subset of the covariates do not significantly contribute to the overall fit of the model,
Externí odkaz:
http://arxiv.org/abs/1109.2527
Akademický článek
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Autor:
M. Azam, R. Qadri, A. Aslam, M. I. Khan, A. S. Khan, R. Anwar, M. A. Ghani, S. Ejaz, Z. Hussain, M. A. Iqbal, J. Chen
Publikováno v:
Brazilian Journal of Biology, Vol 82 (2021)
Abstract The experiment was carried out on mango cv. Dusehri to investigate the effect of N, P and K fertilizers on vegetative, reproductive growth, yield and fruit quality. Eight different fertilizer combinations such as T1 (control), T2 (N), T3 (P)
Externí odkaz:
https://doaj.org/article/3823ffd691794231b4ec697bbbf61b0b