A novel approach for modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data

Gerhardus Visser, Pat Dale, David Leonard Dowe, Emi Ndoen, Mike Dale, Neil Sipe

    Research output: Contribution to journalArticleResearchpeer-review

    Original languageEnglish
    Pages (from-to)140 - 159
    Number of pages20
    JournalComputational Ecology and Software
    Volume2
    Issue number3
    Publication statusPublished - 2012

    Cite this

    @article{d01692e8852f413e82b28ae635362249,
    title = "A novel approach for modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data",
    author = "Gerhardus Visser and Pat Dale and Dowe, {David Leonard} and Emi Ndoen and Mike Dale and Neil Sipe",
    year = "2012",
    language = "English",
    volume = "2",
    pages = "140 -- 159",
    journal = "Computational Ecology and Software",
    issn = "2220-721X",
    publisher = "International Academy of Ecology and Environmental Sciences",
    number = "3",

    }

    A novel approach for modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data. / Visser, Gerhardus; Dale, Pat; Dowe, David Leonard; Ndoen, Emi; Dale, Mike; Sipe, Neil.

    In: Computational Ecology and Software, Vol. 2, No. 3, 2012, p. 140 - 159.

    Research output: Contribution to journalArticleResearchpeer-review

    TY - JOUR

    T1 - A novel approach for modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data

    AU - Visser, Gerhardus

    AU - Dale, Pat

    AU - Dowe, David Leonard

    AU - Ndoen, Emi

    AU - Dale, Mike

    AU - Sipe, Neil

    PY - 2012

    Y1 - 2012

    M3 - Article

    VL - 2

    SP - 140

    EP - 159

    JO - Computational Ecology and Software

    JF - Computational Ecology and Software

    SN - 2220-721X

    IS - 3

    ER -