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For: Cheng J, Yue RX, Liu X. Optimal Designs for Random Coefficient Regression Models with Heteroscedastic Errors. COMMUN STAT-THEOR M 2013. [DOI: 10.1080/03610926.2011.620211] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Number Cited by Other Article(s)
1
Goudarzi M, Khazaei S, Jafari H. D-optimal designs for linear mixed model with random effects of Dirichlet process. COMMUN STAT-SIMUL C 2021. [DOI: 10.1080/03610918.2021.1987467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
2
Cheng J, Ai M. Optimal designs for panel data linear regressions. Stat Probab Lett 2020. [DOI: 10.1016/j.spl.2020.108769] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
3
Zaigraev A, Wilk M. Optimal designs for heteroscedastic regression models with two parameters. STATISTICS-ABINGDON 2019. [DOI: 10.1080/02331888.2019.1702041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
4
Wilk M, Zaigraev A. DS-optimal designs for random coefficient first-degree regression model with heteroscedastic errors. Stat Probab Lett 2017. [DOI: 10.1016/j.spl.2017.04.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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