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Detail
ArtikelComputer-Intensive Methods in Statistical Analysis  
Oleh: Politis, D. N.
Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Signal Processing Magazine vol. 15 no. 1 (1998), page 39-55.
Topik: STATISTICAL; computer - intensive; methods; statistical analysis
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: SS26.3
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
    Lihat Detail Induk
Isi artikelAs far back as the late 1970s, the impact of affordable, high - speed computers on the theory and practice of modern statistics was recognized by Efron (1979, 1982). As a result, the bootstrap and other computer - intensive statistical methods (such as subsampling and the jackknife) have been developed extensively since that time and now constitute very powerful (and intuitive) tools to do statistics with. This article provides a readable, self - contained introduction to the bootstrap and jackknife methodology for statistical inference ; in particular, the focus is on the derivation of confidence intervals in general situations. A guide to the available bibliography on bootstrap methods is also offered.
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