Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Golam B. M. Kibria"'
Autor:
Adewale F. Lukman, Golam B. M. Kibria
Publikováno v:
Arab Journal of Basic and Applied Sciences, Vol 28, Iss 1, Pp 406-412 (2021)
The Almon technique is widely used to estimate the parameters of the distributed lag model (DLM). The technique suffers a setback from the challenge of multicollinearity because the explanatory variables and their lagged values are often correlated.
Externí odkaz:
https://doaj.org/article/75a887691d5247348349f8a887acfd29
Publikováno v:
International Journal for Quality Research, Vol 8, Iss 2, Pp 183-196 (2014)
This paper proposed and considered some bivariate control charts to monitor individual observations from a statistical process control. Usual control charts which use mean and variance-covariance estimators are sensitive to outliers. We consider the
Externí odkaz:
https://doaj.org/article/832f7e6f73514c07913dae08bbc87145
Autor:
Golam B. M. Kibria, Adewale F. Lukman
Publikováno v:
Arab Journal of Basic and Applied Sciences, Vol 28, Iss 1, Pp 406-412 (2021)
The Almon technique is widely used to estimate the parameters of the distributed lag model (DLM). The technique suffers a setback from the challenge of multicollinearity because the explanatory variables and their lagged values are often correlated.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eb23a04756b41705f4b01d78339c827
https://doi.org/10.1080/25765299.2021.1989160
https://doi.org/10.1080/25765299.2021.1989160
Publikováno v:
WSEAS TRANSACTIONS ON MATHEMATICS. 19:571-580
In this paper, a robust interval estimator for the classical process capability index (Cp) based on the modified trimmed standard deviation (MTSD = ST ∗ ) is considered under both normal and non-normal distributions. The performance of the newly pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb161466e6f305d134b3272a980925c
https://doi.org/10.37394/23206.2020.19.62
https://doi.org/10.37394/23206.2020.19.62
Autor:
Joseph Bamidele Awotunde, Adewale F. Lukman, Roseline Oluwaseun Ogundokun, Golam B. M. Kibria, Benedita B. Aladeitan
Publikováno v:
Infectious Disease Modelling
Infectious Disease Modelling, Vol 5, Iss, Pp 543-548 (2020)
Infectious Disease Modelling, Vol 5, Iss, Pp 543-548 (2020)
The coronavirus outbreak is the most notable world crisis since the Second World War. The pandemic that originated from Wuhan, China in late 2019 has affected all the nations of the world and triggered a global economic crisis whose impact will be fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9307182bdb85575d22024a4bbdc14829
https://doi.org/10.1016/j.idm.2020.08.003
https://doi.org/10.1016/j.idm.2020.08.003
Publikováno v:
F1000Research, Vol 10 (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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::cc14e2e52a5e59af860f496297ef8f02
https://f1000research.com/articles/10-832/v1
https://f1000research.com/articles/10-832/v1
Publikováno v:
F1000Research. 10:832
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4cf6bc69b11af4ae44c490fdc53de1b
https://doi.org/10.12688/f1000research.54990.1
https://doi.org/10.12688/f1000research.54990.1
Publikováno v:
Communications in Statistics - Simulation and Computation. 46:6631-6644
This article considers both Partial Least Squares (PLS) and Ridge Regression (RR) methods to combat multicollinearity problem. A simulation study has been conducted to compare their performances with respect to Ordinary Least Squares (OLS). With vary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13730f4ad0734d37ec353bf402a49ba7
https://doi.org/10.1080/03610918.2016.1210168
https://doi.org/10.1080/03610918.2016.1210168
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-17
This article investigates the effects of number of clusters, cluster size, and correction for chance agreement on the distribution of two similarity indices, namely, Jaccard and Rand indices. Skewness and kurtosis are calculated for the two indices a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddf35e39af52a62e69d38cc717fc98b3
https://doi.org/10.1080/03610918.2015.1082586
https://doi.org/10.1080/03610918.2015.1082586