Perbandingan Estimator Histogram dan Estimator Kernel
نویسندگان
چکیده
Salah satu hal penting dalam analisis statistik adalah prosedur estimasi suatu fungsi padat peluang yang biasa disebut densitas. Ada dua metode pendekatan biasanya digunakan, yaitu parameter terkait dengan asumsi distribusi tertentu dan densitas secara non parametrik. Metode parametrik sering kita jumpai histogram.
 Beberapa kelemahan histogram menjadi acuan untuk dikembangkannya lain kernel, dimana estimator kernel ini mempunyai perlu diestimasi bandwidth h. Yang rumusan masalah kajian pustaka bagaimana memilih dari pada f di R membandingkannya Kesimpulan dapat diambil antara lain: (1) Estimasi adalah:
 , (2) Estimator :
 (3) mengatasi kelemahan- histogram, (4) Tingkat konvergensi lebih baik (5) Pemilihan unbiased cross validation (least validation) asymtotik menghasilkan optimum
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ژورنال
عنوان ژورنال: Fraktal
سال: 2021
ISSN: ['2776-0073']
DOI: https://doi.org/10.35508/fractal.v2i1.4036