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Birnbaum–Saunders statistical modelling: a new approach

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Modelling based on the Birnbaum–Saunders distribution has received considerable attention in recent years. In this article, we introduce a new approach for Birnbaum–Saunders regression models, which allows us to analyze data in their original scale and to model non-constant variance. In addition, we propose four types of residuals for these models and conduct a simulation study to establish which of them has a better performance. Moreover, we develop methods of local influence by calculating the normal curvatures under different perturbation schemes. Finally, we perform a statistical analysis with real data by using the approach proposed in the article. This analysis shows the potentiality of our proposal.

Key words: Birnbaum–Saunders distribution; data analysis; influence diagnostics; Monte Carlo methods; reparameterization; residuals

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Ketersediaan

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Informasi Detail

Judul Seri

Statistical Modelling

No. Panggil

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Penerbit

London : SAGE., 2014

Deskripsi Fisik

Statistical Modelling 2014; 14(1): 21–48

Bahasa

English

ISBN/ISSN

DOI: 10.1177/1471082

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

2014; 14(1)

Subjek

STATISTIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

agus

Versi lain/terkait

Lampiran Berkas

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