Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Yasin Asar"'
Autor:
Yasin Asar, Reza Arabi Belaghi
Publikováno v:
Revstat Statistical Journal, Vol 20, Iss 5 (2023)
In this article, we consider the estimation of unknown parameters of Weibull distribution when the lifetime data are observed in the presence of progressively type–I hybrid censoring scheme. The Newton–Raphson algorithm, Expectation–Maximizatio
Externí odkaz:
https://doaj.org/article/c14cf34caeba42bda08471c0e726b5e5
Autor:
Jibo Wu, Yasin Asar
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 3 (2020)
In this paper we propose a principal component Liu-type logistic estimator by combining the principal component logistic regression estimator and Liu-type logistic estimator to overcome the multicollinearity problem. The superiority of the new estima
Externí odkaz:
https://doaj.org/article/239f21a8c28c4579a566672963768221
Autor:
Jibo Wu, Yasin Asar
Publikováno v:
Statistics. 56:739-754
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a651542d7d888001b97600ef486fb852
https://doi.org/10.1080/02331888.2022.2098959
https://doi.org/10.1080/02331888.2022.2098959
Publikováno v:
Statistics. 56:396-420
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b874747fdcb70d21058fd7a894ca92e1
https://doi.org/10.1080/02331888.2022.2055030
https://doi.org/10.1080/02331888.2022.2055030
Autor:
YASIN ASAR, Zakariya Algamal
Publikováno v:
Statistics, Optimization & Information Computing. 10:750-761
In this paper, we propose a new two-parameter biased estimator in gamma regression models when there is collinearity among the regressors. We investigate the mean squared error (MSE) properties of the newly proposed estimator. Moreover, we provide so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d7490833a433ca29fcdb7bb8bc8eca2
https://doi.org/10.19139/soic-2310-5070-822
https://doi.org/10.19139/soic-2310-5070-822
Publikováno v:
Statistical Papers.
Although beta regression is a very useful tool to model the continuous bounded outcome variable with some explanatory variables, however, in the presence of multicollinearity, the performance of the maximum likelihood estimates for the estimation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f94a025c4f342996d35f701e3dd591e9
https://doi.org/10.1007/s00362-022-01355-3
https://doi.org/10.1007/s00362-022-01355-3
Publikováno v:
Journal of Statistical Computation and Simulation. 91:3170-3183
We propose a re-scaled LASSO by pre-multiplying the LASSO with a matrix term, namely, scaled LASSO (SLASSO), for multicollinear situations. Our numerical study has shown that the SLASSO is comparab...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2674dc2d41f51b60e41078ba22f7580e
https://doi.org/10.1080/00949655.2021.1924174
https://doi.org/10.1080/00949655.2021.1924174
Autor:
Murat Erişoğlu, Yasin Asar
Publikováno v:
Journal of Data Science. 14:33-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8659fa891774c30d6c3d83de43312ac
https://doi.org/10.6339/jds.201601_14(1).0003
https://doi.org/10.6339/jds.201601_14(1).0003
Autor:
Esra Öğütcüoğlu, Yasin Asar
Publikováno v:
Journal of Statistical Computation and Simulation. 91:1257-1273
In this study, the effects of multicollinearity on the maximum likelihood estimator are analyzed in the tobit regression model. It is known that the near-linear dependencies in the design matrix af...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc3af78f64a5eb5b135a8d0cc654430
https://doi.org/10.1080/00949655.2020.1845699
https://doi.org/10.1080/00949655.2020.1845699
Autor:
R. Arabi Belaghi, Yasin Asar
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:6808-6825
Lomax distribution has been widely used in economics, business and actuarial sciences. Due to its importance, we consider the statistical inference of this model under joint type-II censoring scena...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdb4924da27947a10e9f79b1f3525275
https://doi.org/10.1080/03610918.2020.1814814
https://doi.org/10.1080/03610918.2020.1814814