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  "Title": "Bias-Reduced Tobit Regression",
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  "Date": "2024-05-12",
  "Authors@R": "c(person(given = \"Achim\", family = \"Zeileis\", role = c(\"aut\", \"cre\"), email = \"Achim.Zeileis@R-project.org\", comment = c(ORCID = \"0000-0003-0918-3766\")),\nperson(given = \"Ioannis\", family = \"Kosmidis\", role = \"aut\", email = \"ioannis.kosmidis@warwick.ac.uk\", comment = c(ORCID = \"0000-0003-1556-0302\")),\nperson(given = \"Susanne\", family = \"Koell\", role = \"aut\", email = \"susanne.berger114@gmail.com\"),\nperson(given = \"Christian\", family = \"Kleiber\", role = \"ctb\", email = \"Christian.Kleiber@unibas.ch\", comment = c(ORCID = \"0000-0002-6781-4733\")))",
  "Description": "Tobit models are regression models with a Gaussian\nresponse variable left-censored at zero, constant latent\nvariance, and a latent mean that depends on covariates through\na linear predictor. As an alternative to plain maximum\nlikelihood estimation, the adjusted score equations of Kosmidis\nand Firth (2010) <doi:10.1214/10-ejs579> are utilized to obtain\nbias-reduced estimates of the model parameters.",
  "License": "GPL-2 | GPL-3",
  "Repository": "https://zeileis.r-universe.dev",
  "Date/Publication": "2025-09-26 18:37:17 UTC",
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  "Author": "Achim Zeileis [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0918-3766>),\nIoannis Kosmidis [aut] (ORCID: <https://orcid.org/0000-0003-1556-0302>),\nSusanne Koell [aut],\nChristian Kleiber [ctb] (ORCID:\n<https://orcid.org/0000-0002-6781-4733>)",
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