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Communications in Statistics - Simulation and Computation Volume 50, 2021 - Issue 12
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Original Articles

Addressing the distributed lag models with heteroscedastic errors

Abdul Majida Pakistan Bureau of Statistics, Regional Office, Multan, Pakistan
,
Muhammad Aslamb Department of Statistics, Bahauddin Zakariya University, Multan, PakistanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2290-2307
ORCID Icon,
Saima Altafb Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
&
Muhammad Amanullahb Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
Pages 4464-4482 | Received 16 Nov 2018, Accepted 10 Jul 2019, Published online: 25 Jul 2019

Citations (6)

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Read on this site (3)

Abdul Majid & Muhammad Aslam. (2023) The Almon M-estimator for the distributed lag model in the presence of outliers. Communications in Statistics - Simulation and Computation 52:7, pages 3273-3285.
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Abdul Majid, Muhammad Aslam, Shakeel Ahmad, Saima Altaf & Saima Afzal. (2022) Robust estimation of the distributed lag model with multicollinearity and outliers. Communications in Statistics - Simulation and Computation 0:0, pages 1-15.
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Adewale F. Lukman & Golam B. M. Kibria. (2021) Almon-KL estimator for the distributed lag model. Arab Journal of Basic and Applied Sciences 28:1, pages 406-412.
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Articles from other publishers (3)

Nimet Özbay & Selma Toker. (2024) How global warming data are modeled via some novel mathematical programming scenarios in distributed lag model?. Stochastic Environmental Research and Risk Assessment 38:2, pages 503-520.
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A. F. Lukman, M. Norouzirad, F. J. Marques & D. Mazarei. (2023) Combining Kibria-Lukman and principal component estimators for the distributed lag models. Behaviormetrika 50:2, pages 621-652.
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Nimet Özbay & Selma Toker. (2021) Prediction framework in a distributed lag model with a target function: an application to global warming data. Environmental and Ecological Statistics 28:1, pages 87-134.
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