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  "Title": "Small Area Estimation using Empirical Bayes without Auxiliary\nVariable",
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  "Authors@R": "c(person(given = \"Siti Rafika\", family = \"Fiandasari\", role = c(\"aut\",\"cre\"), email = \"fikafianda@gmail.com\"),\nperson(given = \"Margaretha Ari\", family = \"Anggorowati\", role = \"aut\", email = \"m.ari@bps.go.id\"),\nperson(given = \"Bahrul Ilmi\", family = \"Nasution\", role = \"aut\", email = \"bahrulnst@gmail.com\"))",
  "Description": "Estimates the parameter of small area in binary data\nwithout auxiliary variable using Empirical Bayes technique,\nmainly from Rao and Molina (2015,ISBN:9781118735787) with book\nentitled \"Small Area Estimation Second Edition\". This package\nprovides another option of direct estimation using weight. This\npackage also features alpha and beta parameter estimation on\ncalculating process of small area. Those methods are\nNewton-Raphson and Moment which based on Wilcox (1979)\n<doi:10.1177/001316447903900302> and Kleinman (1973)\n<doi:10.1080/01621459.1973.10481332>.",
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  "Author": "Siti Rafika Fiandasari [aut, cre], Margaretha Ari Anggorowati\n[aut], Bahrul Ilmi Nasution [aut]",
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