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Mukerjee R. Improving upon the effective sample size based on Godambe information for block likelihood inference. Comput Stat 2023. [DOI: 10.1007/s00180-023-01328-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Alsayat A, Ahmadi H. A Hybrid Method Using Ensembles of Neural Network and Text Mining for Learner Satisfaction Analysis from Big Datasets in Online Learning Platform. Neural Process Lett 2022. [DOI: 10.1007/s11063-022-11009-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Acosta J, Alegría A, Osorio F, Vallejos R. Assessing the effective sample size for large spatial datasets: A block likelihood approach. Comput Stat Data Anal 2021. [DOI: 10.1016/j.csda.2021.107282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Affiliation(s)
- Jonathan Acosta
- Departamento de Matemática, Universidad Técnica Federico Santa María, Valparaíso, Chile
- Insituto de Estadística, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Ronny Vallejos
- Departamento de Matemática, Universidad Técnica Federico Santa María, Valparaíso, Chile
| | - Daniel Griffth
- School of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, TX, USA
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Griffith DA. Establishing Qualitative Geographic Sample Size in the Presence of Spatial Autocorrelation. ACTA ACUST UNITED AC 2013. [DOI: 10.1080/00045608.2013.776884] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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